{"meta":{"query_hash":"b126673408f9","filters":{"venue":"Journal of Advertising Research"},"cohort_total":35,"direct_labels_cover":0,"predictions_cover":35,"exported":35,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b126673408f9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Advertising+Research"},"results":[{"id":"W1974171265","doi":"10.1017/s0021849903030332","title":"Does It Pay to Shock? Reactions to Shocking and Nonshocking Advertising Content among University Students","year":2003,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":277,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Advertising; Shock (circulatory); Context (archaeology); Psychology; Content analysis; Content (measure theory); Social psychology; Business; Sociology; Medicine; History; Social science","score_opus":0.13229608629305104,"score_gpt":0.3792627074235549,"score_spread":0.24696662113050386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974171265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917948,0.00007174106,0.000235218,0.0031283826,0.0007933916,0.00031249734,0.000004263536,0.000014523447,0.0036451607],"genre_scores_gemma":[0.99319714,0.00017931801,0.00048770715,0.0004050797,0.0003860851,0.0000015013467,3.6109913e-7,0.000020584625,0.005322209],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970345,0.00035655807,0.00054851925,0.00025464655,0.001195841,0.0006099659],"domain_scores_gemma":[0.9975108,0.0004978358,0.00016514119,0.00020483893,0.0009928191,0.00062856975],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029011117,0.00014800776,0.00032208598,0.0008603787,0.0013124377,0.00040809895,0.0003488297,0.000057595378,0.00027781818],"category_scores_gemma":[0.0010951124,0.000094598036,0.00008474692,0.00024057941,0.00019303201,0.0007294876,0.0001464888,0.00080252066,0.000026424996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078601576,0.00057204184,0.71828824,0.00039052978,0.00035717344,0.0009841875,0.22104199,0.00045103772,0.008890683,0.014321826,0.010269943,0.023646316],"study_design_scores_gemma":[0.0016682369,0.001130964,0.137805,0.0041528884,0.00007331482,0.0000868166,0.15124236,0.000032105778,0.0016978172,0.00078475784,0.70080477,0.00052097795],"about_ca_topic_score_codex":0.00087032263,"about_ca_topic_score_gemma":0.0027156395,"teacher_disagreement_score":0.69053483,"about_ca_system_score_codex":0.00047197376,"about_ca_system_score_gemma":0.00025579229,"threshold_uncertainty_score":0.9999877},"labels":[],"label_agreement":null},{"id":"W1981454493","doi":"10.1017/s0021849905050427","title":"Managing Media and Advertising Change with Integrated Marketing","year":2005,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Marketing; Integrated marketing communications; Advertising; Process (computing); Marketing management; Relationship marketing; Computer science","score_opus":0.04350180618022059,"score_gpt":0.3034208349403073,"score_spread":0.2599190287600867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981454493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96848035,0.0037863129,0.0005662334,0.009050314,0.00033022408,0.00024208751,9.668449e-7,0.00010528202,0.017438203],"genre_scores_gemma":[0.99252665,0.00045181788,0.0033436974,0.00044459765,0.0029457104,0.000004022489,0.0000024038477,0.00006112564,0.00021996711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968404,0.00017499077,0.0006552766,0.00033318734,0.0012371021,0.0007589993],"domain_scores_gemma":[0.9974185,0.0007607985,0.00044388697,0.00022896657,0.0010750203,0.000072812494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006498977,0.0002688526,0.00041474748,0.0012874708,0.00059005996,0.0009378081,0.00040520565,0.000097455966,0.00011113258],"category_scores_gemma":[0.0016068423,0.00020417511,0.00008387884,0.0011378945,0.000289254,0.0029760462,0.00022810006,0.0010011032,0.00002116404],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002010901,0.00015551587,0.050332796,0.0010426383,0.00015648875,0.00055613974,0.0009822577,0.00028276703,0.00323672,0.0012239316,0.004455566,0.9355643],"study_design_scores_gemma":[0.010844687,0.0005492712,0.59300363,0.040206317,0.00054082455,0.0023294208,0.017660305,0.051627748,0.0015751802,0.0113285165,0.2672899,0.0030441668],"about_ca_topic_score_codex":0.00029707764,"about_ca_topic_score_gemma":0.00016819131,"teacher_disagreement_score":0.9325201,"about_ca_system_score_codex":0.00014359358,"about_ca_system_score_gemma":0.00009390849,"threshold_uncertainty_score":0.9043305},"labels":[],"label_agreement":null},{"id":"W1992808273","doi":"10.2501/jar-53-2-166-174","title":"An Episode-by-Episode Examination: What Drives Television-Viewer Behavior","year":2013,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Social connectedness; Construct (python library); Advertising; Value (mathematics); Digital television; Marketing; Psychology; Business; Computer science; Social psychology; Telecommunications","score_opus":0.04024470457068306,"score_gpt":0.40070901686868454,"score_spread":0.36046431229800147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992808273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842906,0.00188051,0.00007487814,0.0030871835,0.000830859,0.0003115975,0.0000013468906,0.000028010474,0.009495017],"genre_scores_gemma":[0.99392515,0.0018999228,0.0004197019,0.000079884194,0.0008411718,0.000015542242,0.0000019147924,0.000022571136,0.0027941521],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99429184,0.0019520704,0.000530039,0.00021072205,0.0023657323,0.00064957084],"domain_scores_gemma":[0.9955496,0.0014015515,0.00022587953,0.00020844764,0.0020492312,0.00056525774],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00839736,0.00012155587,0.0002810254,0.00031130612,0.00093164615,0.0016804102,0.00071122224,0.00016664206,0.0005575152],"category_scores_gemma":[0.0046387245,0.00010520227,0.00012680958,0.00063577155,0.00067835266,0.0045873565,0.00006814482,0.00069598923,0.00010139294],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015462021,0.0003560605,0.012648241,0.000014805216,0.000016351194,0.000034289184,0.009157989,0.0000019459949,0.002479711,0.00023536013,0.015252303,0.9597875],"study_design_scores_gemma":[0.0018518564,0.00233082,0.63963413,0.0030556098,0.0000854574,0.0000546721,0.1531157,0.00015773874,0.0024420526,0.013735512,0.18241031,0.0011261301],"about_ca_topic_score_codex":0.0009799965,"about_ca_topic_score_gemma":0.00017316703,"teacher_disagreement_score":0.9586614,"about_ca_system_score_codex":0.0003006686,"about_ca_system_score_gemma":0.00027113443,"threshold_uncertainty_score":0.9993559},"labels":[],"label_agreement":null},{"id":"W2043769717","doi":"10.2501/s0021849907070298","title":"Perils of Using OLS to Estimate Multimedia Communications Effects","year":2007,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Ordinary least squares; Profitability index; Estimation; Marketing; Advertising; Econometrics; Marketing mix modeling; Shareholder; Economics; Marketing mix; Business; Marketing effectiveness; Return on marketing investment; Corporate governance","score_opus":0.09446965299015343,"score_gpt":0.44260097931453546,"score_spread":0.34813132632438204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043769717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930072,0.00048140282,0.0035538487,0.0003622069,0.00026207344,0.00021065456,3.927299e-7,0.000011775357,0.0021104896],"genre_scores_gemma":[0.9843134,0.0000146598795,0.015265654,0.00006637895,0.00027804458,8.755433e-7,7.7262666e-7,0.000021334292,0.00003885556],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980856,0.000063012725,0.00058111205,0.00010973469,0.000759907,0.0004005989],"domain_scores_gemma":[0.9971017,0.00097570603,0.0002874378,0.00039507388,0.0011866416,0.0000534383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053982893,0.00010152389,0.00026842428,0.0011037096,0.00028161606,0.0001498828,0.0006339587,0.00005332993,0.00004391504],"category_scores_gemma":[0.001791601,0.00009184013,0.00010285712,0.001073409,0.00013142396,0.00064564956,0.00045218598,0.00047571247,0.000017981596],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040417092,0.00027625205,0.28667137,0.0004766215,0.00006356334,0.00014393115,0.0007083335,0.00019357482,0.33588845,0.00023360112,0.00059193536,0.37434822],"study_design_scores_gemma":[0.0018478556,0.00011940945,0.9526996,0.0030766071,0.00021914188,0.000096312346,0.0009000057,0.012073164,0.016165666,0.00071153324,0.011677907,0.00041279438],"about_ca_topic_score_codex":0.00043161178,"about_ca_topic_score_gemma":0.00009045499,"teacher_disagreement_score":0.66602826,"about_ca_system_score_codex":0.00008575116,"about_ca_system_score_gemma":0.00007901711,"threshold_uncertainty_score":0.37451315},"labels":[],"label_agreement":null},{"id":"W2051633659","doi":"10.2501/s002184990808032x","title":"The Impact of SMS Advertising on Members of a Virtual Community","year":2008,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Credibility; Short Message Service; Advertising; Source credibility; Service (business); Computer science; Psychology; Internet privacy; Business; Marketing; Political science; Telecommunications","score_opus":0.15450685533553815,"score_gpt":0.46412229975709374,"score_spread":0.3096154444215556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051633659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535199,0.00035043413,0.00004303889,0.00021423728,0.00014688028,0.000110877074,8.6004354e-7,0.000005484784,0.045608297],"genre_scores_gemma":[0.99787456,0.0006667562,0.000058544505,0.0000045065485,0.00014155428,5.087335e-7,1.8851196e-7,0.000010426874,0.001242978],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99571365,0.0016550948,0.00056267844,0.000074161726,0.0015615285,0.00043290426],"domain_scores_gemma":[0.99607027,0.0022267979,0.00034593474,0.00026999213,0.0009444985,0.00014249698],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009561066,0.00008772914,0.00027337467,0.0003921647,0.0019361967,0.00005560629,0.00088530505,0.00006582721,0.00006436475],"category_scores_gemma":[0.0032005918,0.000058206588,0.00027334352,0.0007964982,0.0010595471,0.0003146222,0.0001863989,0.0010002134,0.0000047297876],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004713846,0.0028442459,0.2561315,0.00021675092,0.0019809227,0.000305273,0.36539447,0.008116755,0.030099362,0.015970767,0.03863914,0.27558693],"study_design_scores_gemma":[0.0061803698,0.012053737,0.75780326,0.004845724,0.00015049773,0.00009990451,0.16951628,0.0026274894,0.019034306,0.012795233,0.014018561,0.00087463256],"about_ca_topic_score_codex":0.0041350247,"about_ca_topic_score_gemma":0.0005748151,"teacher_disagreement_score":0.50167173,"about_ca_system_score_codex":0.00036827283,"about_ca_system_score_gemma":0.00050736405,"threshold_uncertainty_score":0.9993631},"labels":[],"label_agreement":null},{"id":"W2062996534","doi":"10.2501/s0021849909090011","title":"Split-Second Recognition: What Makes Outdoor Advertising Work?","year":2009,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Historical Association","funders":"","keywords":"Headline; Appeal; Advertising; Product (mathematics); Business; Psychology; Marketing; Political science; Mathematics","score_opus":0.10474335055009386,"score_gpt":0.3513836804713606,"score_spread":0.24664032992126672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062996534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98749524,0.0026289413,0.00009285621,0.0039214212,0.0011808425,0.0002061255,8.2092083e-7,0.000045363606,0.004428402],"genre_scores_gemma":[0.9959491,0.00029657353,0.00037759863,0.0010174648,0.0011503884,0.0000030527717,0.000008937472,0.000022012795,0.0011748974],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974107,0.00007178374,0.00076977006,0.00025785365,0.0010414579,0.00044843412],"domain_scores_gemma":[0.99757826,0.00012288732,0.000388157,0.0002845679,0.0015709138,0.00005523194],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021500376,0.00016425576,0.0002744324,0.00086947577,0.0005163962,0.002260977,0.000411979,0.00010493777,0.001547806],"category_scores_gemma":[0.00028100776,0.00015296186,0.00019100649,0.0009053026,0.00014079855,0.0053700455,0.000071153016,0.00067182747,0.00059017603],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002667595,0.0001740539,0.0024422186,0.000057992343,0.00002292792,0.000071222334,0.000099616096,0.0000030413134,0.0050105057,0.0005240004,0.0062947497,0.9850329],"study_design_scores_gemma":[0.0032237817,0.00009019972,0.7683499,0.0036881538,0.00020356334,0.00021574617,0.0024112929,0.00013138777,0.0029807945,0.024328409,0.19358511,0.0007916513],"about_ca_topic_score_codex":0.000030892847,"about_ca_topic_score_gemma":0.000031336203,"teacher_disagreement_score":0.98424125,"about_ca_system_score_codex":0.0001200051,"about_ca_system_score_gemma":0.000062853935,"threshold_uncertainty_score":0.9993649},"labels":[],"label_agreement":null},{"id":"W2075396304","doi":"10.2501/s0021849908080549","title":"Endorsement Practice: How Agencies Select Spokespeople","year":2008,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Normative; Agency (philosophy); Selection (genetic algorithm); Process (computing); Advertising; Test (biology); Normative model of decision-making; Psychology; Public relations; Marketing; Business; Sociology; Political science; Computer science; Law; Artificial intelligence","score_opus":0.17820575628213722,"score_gpt":0.4552791198230152,"score_spread":0.27707336354087797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075396304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9125902,0.005249783,0.0014083324,0.01976511,0.0013483068,0.00036484303,0.000001841246,0.000044227818,0.059227347],"genre_scores_gemma":[0.98050547,0.006502377,0.0034434607,0.00019985336,0.0015398974,0.0000021164494,5.6440524e-7,0.000021208472,0.0077850646],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935454,0.0013968666,0.00045086135,0.00021339396,0.0034872205,0.0009062662],"domain_scores_gemma":[0.9956741,0.0015278214,0.00031637706,0.00020826537,0.0018065858,0.0004668817],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.007896109,0.0001309864,0.00029490356,0.0005122096,0.0019170301,0.0002174084,0.0005590115,0.00011301307,0.00023188752],"category_scores_gemma":[0.010978227,0.00011520903,0.00016244566,0.001050773,0.00059600937,0.0012371353,0.000090687405,0.00093403744,0.000039299997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008577833,0.001048451,0.023923198,0.00019544143,0.0004297181,0.0071493364,0.5378377,0.00024594262,0.06836773,0.004598245,0.26629344,0.089053005],"study_design_scores_gemma":[0.0017298778,0.00092373014,0.0081753265,0.00045854563,0.00006805137,0.0013238123,0.19544038,0.00007461926,0.015584777,0.0017867498,0.773937,0.00049715955],"about_ca_topic_score_codex":0.00052621716,"about_ca_topic_score_gemma":0.00017913477,"teacher_disagreement_score":0.5076435,"about_ca_system_score_codex":0.00087234954,"about_ca_system_score_gemma":0.0026800456,"threshold_uncertainty_score":0.9993823},"labels":[],"label_agreement":null},{"id":"W2110762176","doi":"10.1017/s0021849905050269","title":"A Look at the Long-run Effectiveness of Multimedia Advertising and Its Implications for Budget Allocation Decisions","year":2005,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Competitor analysis; Advertising; Productivity; Business; Marketing; Computer science; Economics","score_opus":0.05310760060203042,"score_gpt":0.3669911999063302,"score_spread":0.3138835993042998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110762176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903455,0.0025441858,0.003564266,0.0025191817,0.0001280688,0.00054445554,0.000003801215,0.000010002757,0.0003405332],"genre_scores_gemma":[0.9987109,0.00019125493,0.00052169536,0.0000677793,0.00033855956,0.000017843418,0.000005365577,0.000023126442,0.00012348607],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983886,0.00012067855,0.0005131662,0.00018529913,0.00047948575,0.00031280838],"domain_scores_gemma":[0.99458253,0.0033012205,0.00030943294,0.0002222284,0.0015480013,0.00003659711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047496962,0.00011822491,0.00024506592,0.0005017478,0.0005893939,0.00015221021,0.00031832617,0.00006516481,0.00003869802],"category_scores_gemma":[0.0024749096,0.0000866657,0.00012023033,0.00056788116,0.000119043216,0.0008774258,0.00025355618,0.00029448216,0.0000096400445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011536777,0.0002645937,0.19594318,0.00047395795,0.00011442118,0.0000059761887,0.0002905848,0.0005390679,0.17102462,0.0006323068,0.0016873158,0.62787026],"study_design_scores_gemma":[0.001556345,0.000053142983,0.9799834,0.000950556,0.00015535358,0.000055412333,0.00011911727,0.004597592,0.0065944246,0.0010461417,0.004732072,0.00015648031],"about_ca_topic_score_codex":0.000066624365,"about_ca_topic_score_gemma":0.00015989284,"teacher_disagreement_score":0.78404015,"about_ca_system_score_codex":0.00012891922,"about_ca_system_score_gemma":0.00009575374,"threshold_uncertainty_score":0.45332006},"labels":[],"label_agreement":null},{"id":"W2120040496","doi":"10.1017/s0021849904040115","title":"What Advertising Testing Might Have Been, If We Had Only Known","year":2004,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Advertising; Marketing; Business; Computer science","score_opus":0.0997661242723059,"score_gpt":0.3585962505030124,"score_spread":0.2588301262307065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120040496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862124,0.0032416137,0.00061227713,0.0063527855,0.0017582931,0.0002686685,8.461457e-7,0.000066587905,0.0014865693],"genre_scores_gemma":[0.99553305,0.0006509075,0.0008649975,0.00023179171,0.0014675799,0.0000043974433,0.0000046941386,0.00004769207,0.001194882],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965926,0.00006990773,0.00093003653,0.0003346184,0.0014660225,0.0006068285],"domain_scores_gemma":[0.9965424,0.00023385482,0.00053621794,0.0003522565,0.0022599897,0.000075272495],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0023384574,0.00021582433,0.0003306428,0.0013021277,0.0007876976,0.0022028515,0.0005883622,0.00012407065,0.00023961967],"category_scores_gemma":[0.0010529181,0.00019812559,0.00019539973,0.0011037831,0.00020692892,0.005364508,0.00022445255,0.0009105419,0.000370968],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017968037,0.0003828432,0.028904252,0.0002257292,0.00006138747,0.00022695359,0.00044688594,0.00022005397,0.028495349,0.0007091885,0.0033558246,0.93679184],"study_design_scores_gemma":[0.0081948405,0.0001455574,0.7194938,0.013079739,0.00043961627,0.00080326834,0.007872893,0.0013377982,0.0070867226,0.024042608,0.21607652,0.0014266263],"about_ca_topic_score_codex":0.00041239403,"about_ca_topic_score_gemma":0.00015523644,"teacher_disagreement_score":0.9353652,"about_ca_system_score_codex":0.0003068273,"about_ca_system_score_gemma":0.00031376726,"threshold_uncertainty_score":0.99883294},"labels":[],"label_agreement":null},{"id":"W2209323101","doi":"10.2501/jar-2015-007","title":"How Corporate Sponsors Can Optimize the Impact of Their Message Content","year":2015,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scope (computer science); Business; Marketing; Focus (optics); Product (mathematics); Advertising; Regulatory focus theory; Process (computing); Event (particle physics); Public relations; Political science; Task (project management); Computer science; Economics; Management","score_opus":0.3296096255392679,"score_gpt":0.3680889773320979,"score_spread":0.03847935179282996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209323101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952917,0.00051409204,0.000090009125,0.0033291935,0.00027631695,0.0001719624,0.000003295495,0.000009205155,0.0003142441],"genre_scores_gemma":[0.9986535,0.00006890339,0.000044669,0.000029687799,0.0002298565,0.000002931388,0.0000029414691,0.00001478218,0.0009527709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830055,0.00013584958,0.0004110664,0.00011379639,0.000789173,0.0002495725],"domain_scores_gemma":[0.9962583,0.00015012888,0.0007082277,0.00027019184,0.0025655748,0.00004753206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003771571,0.00011084623,0.00023526538,0.00048493544,0.00017849829,0.00058020675,0.0004694348,0.000046348778,0.000070557246],"category_scores_gemma":[0.00077200757,0.000062962914,0.00020603406,0.0005946754,0.00022408878,0.0008062615,0.00011192118,0.0003998897,0.0000146940465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004443197,0.0011133712,0.4336998,0.00022022235,0.0007220797,0.00020153188,0.0021179921,0.0014656475,0.13609199,0.001753332,0.07101883,0.347152],"study_design_scores_gemma":[0.0031395352,0.00009334655,0.9756345,0.00036962988,0.000118123746,0.00009868032,0.006925874,0.0020657538,0.0026770562,0.0027746507,0.005840047,0.00026277368],"about_ca_topic_score_codex":0.0006621998,"about_ca_topic_score_gemma":0.000040706844,"teacher_disagreement_score":0.5419347,"about_ca_system_score_codex":0.00013110762,"about_ca_system_score_gemma":0.00022889099,"threshold_uncertainty_score":0.55949473},"labels":[],"label_agreement":null},{"id":"W2278523154","doi":"10.2501/jar-54-2-141-148","title":"Is Mobile a Reliable Platform For Survey Taking?","year":2014,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Business; Marketing; Telecommunications; Advertising; Computer science","score_opus":0.47896606175879797,"score_gpt":0.5677636818817027,"score_spread":0.08879762012290471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278523154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98813826,0.0004917878,0.005881302,0.0007496162,0.00072565203,0.00025317655,0.0000064127657,0.00001176324,0.003742028],"genre_scores_gemma":[0.9884429,0.00022454825,0.0073931916,0.00016541008,0.00056113326,0.000008601563,0.0000010281316,0.000016863234,0.0031863502],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98802656,0.009782123,0.00042549643,0.00016409102,0.0009759639,0.00062577083],"domain_scores_gemma":[0.9546642,0.04306203,0.00027277577,0.00018066075,0.0016109495,0.00020941491],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.22069642,0.0000740923,0.00026823368,0.0003568042,0.00095019734,0.000095556796,0.00048704376,0.00018014459,0.0002611239],"category_scores_gemma":[0.10136335,0.00006363756,0.00013065724,0.00058983045,0.0003783563,0.0003226293,0.00005126023,0.0005564021,0.000022689193],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.054027267,0.0007498679,0.3951002,0.00016527563,0.0003809183,0.000075344724,0.05378403,0.0002925384,0.009411609,0.00461455,0.26673317,0.21466522],"study_design_scores_gemma":[0.0019454259,0.0020024367,0.41606995,0.00026709435,0.000021483243,0.00003251618,0.0036912572,0.00030198507,0.0066402196,0.014496903,0.55424756,0.00028317448],"about_ca_topic_score_codex":0.0015588745,"about_ca_topic_score_gemma":0.0007631259,"teacher_disagreement_score":0.28751436,"about_ca_system_score_codex":0.00016431109,"about_ca_system_score_gemma":0.00069626607,"threshold_uncertainty_score":0.90620625},"labels":[],"label_agreement":null},{"id":"W2295376133","doi":"10.2501/jar-2015-006","title":"Accounting for Social-Desirability Bias in Survey Sampling","year":2015,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Social desirability; Accounting; Sampling (signal processing); Social desirability bias; Survey research; Business; Reporting bias; Marketing; Psychology; Social psychology; Political science; MEDLINE; Computer science; Business administration; Telecommunications","score_opus":0.8263005776308638,"score_gpt":0.5848368616876762,"score_spread":0.2414637159431876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295376133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9236098,0.000083666746,0.075443864,0.0003118742,0.00013083025,0.00021706632,0.000006071795,0.000030923067,0.00016593558],"genre_scores_gemma":[0.9137856,0.0000065433296,0.08594173,0.000011671622,0.00017929178,0.000005380376,0.0000024295596,0.000025183008,0.000042208885],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99629915,0.000973399,0.0012763246,0.00014964824,0.0009004004,0.00040110925],"domain_scores_gemma":[0.98653173,0.009466498,0.0007211439,0.00016758959,0.0030019388,0.00011111178],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0784379,0.00009893085,0.00040623118,0.0005257816,0.00017983433,0.00013271437,0.0003024221,0.00012147195,0.0000054096004],"category_scores_gemma":[0.12703834,0.00008618097,0.00010846561,0.0006119648,0.00008633058,0.00030036067,0.0000683528,0.00060083246,0.0000021228848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016232828,0.0008486798,0.883852,0.0007376543,0.00009239181,0.000019897794,0.008312438,0.00035931848,0.0022205077,0.0022072063,0.028333269,0.07139338],"study_design_scores_gemma":[0.0019828528,0.00042845323,0.41481057,0.0008253676,0.000014731339,0.000041163188,0.0016941904,0.0022469522,0.004230944,0.57266927,0.0007457055,0.00030981298],"about_ca_topic_score_codex":0.00029523516,"about_ca_topic_score_gemma":0.0001518639,"teacher_disagreement_score":0.57046205,"about_ca_system_score_codex":0.00044160502,"about_ca_system_score_gemma":0.0004476677,"threshold_uncertainty_score":0.9489421},"labels":[],"label_agreement":null},{"id":"W2307657387","doi":"10.2501/jar-53-4-363-371","title":"The Interaction of Sampling and Weighting In Producing a Representative Sample Online","year":2013,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Weighting; Sample (material); Variance (accounting); Sampling (signal processing); Statistics; Dilemma; Econometrics; Sampling bias; The Internet; Survey sampling; Survey data collection; Sampling design; Marketing; Computer science; Advertising; Sample size determination; Mathematics; Business; Sociology; Telecommunications; Demography","score_opus":0.0702333646592306,"score_gpt":0.3748737973811146,"score_spread":0.304640432721884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307657387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962674,0.00061129895,0.00017696974,0.0016893373,0.00017949886,0.00015014035,3.7013479e-7,0.000007876957,0.00091713405],"genre_scores_gemma":[0.9974389,0.00019022044,0.001720582,0.00003067472,0.00053283776,0.0000024519175,9.826464e-7,0.0000137654515,0.00006955661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982446,0.00011588039,0.00064164033,0.00016361011,0.00052230695,0.000311989],"domain_scores_gemma":[0.996258,0.0021526462,0.00048106458,0.00015616041,0.00093528745,0.000016811851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037200816,0.00009327822,0.00020710441,0.00051420054,0.00031996035,0.0004534946,0.00021784288,0.00003473371,0.000023476094],"category_scores_gemma":[0.006708291,0.00006319563,0.000049909922,0.00060993625,0.0001587304,0.001337468,0.00017095597,0.0005939725,0.0000023360233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076752267,0.00038464097,0.5492579,0.0012440139,0.000144536,0.000038740745,0.0033635811,0.0021310055,0.054251943,0.002183012,0.0026403267,0.38359284],"study_design_scores_gemma":[0.0017240988,0.00016336766,0.8727563,0.0072283885,0.000039890332,0.000084825035,0.04246509,0.024115464,0.0023834642,0.042186685,0.0064752297,0.00037721693],"about_ca_topic_score_codex":0.004600383,"about_ca_topic_score_gemma":0.00024297739,"teacher_disagreement_score":0.3832156,"about_ca_system_score_codex":0.000055545766,"about_ca_system_score_gemma":0.00005227148,"threshold_uncertainty_score":0.8030935},"labels":[],"label_agreement":null},{"id":"W2322239009","doi":"10.2501/jar-55-1-022-036","title":"Who Decides What to Watch on TV at Home? Insights from People-Meter Data in Mexico","year":2015,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Advertising; Affect (linguistics); Interpersonal communication; Metre; Business; Marketing; Psychology; Social psychology; Communication","score_opus":0.15062011249340507,"score_gpt":0.4327258757582831,"score_spread":0.282105763264878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322239009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751344,0.00079370115,0.000011482578,0.012763154,0.0009855895,0.00015102483,0.000005842875,0.000010612036,0.0101442095],"genre_scores_gemma":[0.9967302,0.0006810831,0.00028721907,0.00025704148,0.000804383,0.0000018832817,0.000004784939,0.000019207266,0.0012141727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944689,0.0012926031,0.00047619874,0.00029859258,0.0028809384,0.00058275595],"domain_scores_gemma":[0.99502003,0.0030045751,0.00012787235,0.000415764,0.0006919901,0.00073976745],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007042315,0.00011649161,0.00036409628,0.00040023527,0.00033725507,0.0007971887,0.0012797794,0.00013791856,0.000048346978],"category_scores_gemma":[0.015598841,0.00009669239,0.00006418423,0.0010218911,0.0002126415,0.0018930191,0.00055130007,0.0006295805,0.00011223968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026624852,0.0006198388,0.32471612,0.0000265666,0.000113884445,0.0006742464,0.26604512,0.00010274432,0.00059863983,0.0005980752,0.1677507,0.23609157],"study_design_scores_gemma":[0.0039591733,0.0017053193,0.49507207,0.006418708,0.000034486733,0.000014807647,0.16451678,0.00017492131,0.0012934054,0.04509009,0.28079495,0.0009252873],"about_ca_topic_score_codex":0.0033431207,"about_ca_topic_score_gemma":0.018905353,"teacher_disagreement_score":0.23516628,"about_ca_system_score_codex":0.0009222816,"about_ca_system_score_gemma":0.0006823972,"threshold_uncertainty_score":0.9989971},"labels":[],"label_agreement":null},{"id":"W2327199198","doi":"10.2501/jar-41-4-71-81","title":"A Tale of Two Studies: Replicating ‘Advertising Effectiveness and Content Evaluation in Print and on the Web’","year":2001,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Replication (statistics); Replicate; Advertising; Sample (material); Computer science; World Wide Web; Psychology; Mathematics; Business; Chemistry; Statistics","score_opus":0.21197068738075114,"score_gpt":0.49267183335476544,"score_spread":0.2807011459740143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327199198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99147195,0.001682728,0.000007273077,0.0018898133,0.000091131,0.00032525917,2.788959e-7,0.0000034831307,0.004528095],"genre_scores_gemma":[0.9984297,0.0013477711,0.000057341822,0.000019577326,0.000095642325,0.000007423001,4.431884e-8,0.000005900206,0.000036591166],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99590415,0.002205484,0.00035553842,0.00013759271,0.0011496226,0.00024764388],"domain_scores_gemma":[0.9931345,0.005603083,0.00019123995,0.000096330674,0.0008955842,0.00007926528],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.027324615,0.00006120658,0.00021988728,0.00018596991,0.00036440513,0.00008390963,0.00013404033,0.000038631206,0.000003568853],"category_scores_gemma":[0.024707677,0.00004274319,0.000036778885,0.0004437827,0.0005638673,0.00019950462,0.00007530953,0.00034856697,3.5701268e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061083585,0.00020501686,0.21255991,0.00013627335,0.00010084649,0.00004362596,0.046761725,0.00007350336,0.015562377,0.0038052213,0.00006116064,0.7200795],"study_design_scores_gemma":[0.0043785647,0.0011930676,0.7694678,0.010907452,0.000057831858,0.000054466753,0.17664883,0.0016951972,0.002631143,0.031824388,0.0008447741,0.0002965459],"about_ca_topic_score_codex":0.00042127474,"about_ca_topic_score_gemma":0.0003350761,"teacher_disagreement_score":0.71978295,"about_ca_system_score_codex":0.00031382742,"about_ca_system_score_gemma":0.00024363399,"threshold_uncertainty_score":0.98350763},"labels":[],"label_agreement":null},{"id":"W2338483434","doi":"10.2501/jar-41-4-57-70","title":"The Medium Is Not the Message: Advertising Effectiveness and Content Evaluation in Print and on the Web","year":2001,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Advertising; Assertion; Contextual advertising; Native advertising; Online advertising; Advertising research; Computer science; World Wide Web; Business; The Internet","score_opus":0.12419802589929461,"score_gpt":0.4246154504217659,"score_spread":0.3004174245224713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338483434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474153,0.0011213393,0.0000044107665,0.04369664,0.00026307616,0.00040034857,4.303124e-7,0.000003904302,0.0070945458],"genre_scores_gemma":[0.99670076,0.0026983055,0.000004917926,0.00015997472,0.00021706133,0.000010505446,4.648918e-8,0.0000074653926,0.00020095965],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9932526,0.003969066,0.00029491098,0.00013378933,0.001978486,0.00037118717],"domain_scores_gemma":[0.98840165,0.010597699,0.00013056354,0.00012876769,0.0006365897,0.00010471129],"candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.040389854,0.000077558696,0.00014724943,0.00010077336,0.0015095782,0.0004706021,0.00031777922,0.000063913096,0.000011057961],"category_scores_gemma":[0.016280262,0.000036907168,0.00004814029,0.00041646324,0.00088772253,0.00021997688,0.00009421694,0.00069576636,0.0000016738303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011249242,0.0001064192,0.051359404,0.00002871204,0.00007605904,0.00004646969,0.036243144,0.000019165387,0.0026367032,0.004327528,0.00085896574,0.9031725],"study_design_scores_gemma":[0.0013353821,0.00031507044,0.9218003,0.0013138393,0.000028239518,0.000026428737,0.048688248,0.0007639393,0.00072022434,0.010793514,0.014074229,0.00014059819],"about_ca_topic_score_codex":0.00041488928,"about_ca_topic_score_gemma":0.00077217986,"teacher_disagreement_score":0.9030319,"about_ca_system_score_codex":0.00028917706,"about_ca_system_score_gemma":0.0004359295,"threshold_uncertainty_score":0.9997903},"labels":[],"label_agreement":null},{"id":"W2404357373","doi":"10.2501/jar-51-2-404-416","title":"What’s So Funny?","year":2011,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Advertising; China; Product (mathematics); Product type; Psychology; Marketing; Business; Political science; Law","score_opus":0.2867145457155135,"score_gpt":0.4645918095543553,"score_spread":0.17787726383884178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404357373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84719384,0.010141926,0.0010912331,0.004436238,0.0066803885,0.00030369265,9.3725214e-7,0.000048893115,0.13010284],"genre_scores_gemma":[0.9859483,0.004812875,0.0017115237,0.00018210668,0.0014526977,0.000001103612,2.2925151e-7,0.000021563643,0.005869588],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956796,0.0008229599,0.00050202967,0.000173005,0.0020469362,0.00077543705],"domain_scores_gemma":[0.99764735,0.00042219818,0.00019959726,0.0002087322,0.0010164209,0.00050573156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076778987,0.000099741555,0.00024117838,0.00048628717,0.0011248864,0.0004128899,0.0006632938,0.0001295039,0.00085103174],"category_scores_gemma":[0.0019047939,0.00008667563,0.00015287315,0.0006624047,0.0007544053,0.001667665,0.000092398135,0.00081239105,0.000090164416],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041257442,0.0005189932,0.015905004,0.00008715801,0.00017400127,0.0010485866,0.48559988,0.00001099993,0.007508102,0.0111101065,0.028532008,0.4490926],"study_design_scores_gemma":[0.0022923604,0.0011542041,0.04010419,0.002498309,0.00007696299,0.00024349093,0.36658463,0.00006429995,0.014264457,0.072953425,0.49899378,0.000769872],"about_ca_topic_score_codex":0.00073408155,"about_ca_topic_score_gemma":0.00029055617,"teacher_disagreement_score":0.4704618,"about_ca_system_score_codex":0.0002897206,"about_ca_system_score_gemma":0.0013404461,"threshold_uncertainty_score":0.9318201},"labels":[],"label_agreement":null},{"id":"W2566574777","doi":"10.2501/jar-40-4-45-53","title":"Fewer is Better","year":2000,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine; Radiation therapy; Adjuvant radiotherapy; Adjuvant; Breast cancer; Oncology; Internal medicine; Stage (stratigraphy); Adjuvant therapy; Cancer; Distant metastasis; Metastasis","score_opus":0.031900294087735634,"score_gpt":0.3782587468402133,"score_spread":0.3463584527524777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566574777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899107,0.0015107744,0.00017535633,0.0027063657,0.00012688436,0.000044600703,0.0000025121265,0.0000016629944,0.0055211093],"genre_scores_gemma":[0.9895173,0.0005240636,0.0023651423,0.0007010688,0.0007936693,0.0000016434634,0.0000018619422,0.000018348912,0.00607696],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988282,0.0001011806,0.00023610213,0.00013046786,0.0004656773,0.00023841028],"domain_scores_gemma":[0.99918854,0.000023589319,0.000048599097,0.00022067847,0.0004369697,0.00008162049],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007406661,0.0000620817,0.00008990275,0.000108100896,0.00010426801,0.000041980813,0.00025027915,0.00008366344,0.0011355077],"category_scores_gemma":[0.00009814317,0.000054013202,0.00008601034,0.00016968594,0.00010625056,0.000007785463,0.0000419674,0.00027980338,0.0000693229],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032819778,0.00009707835,0.007434554,0.000017090068,0.0001409573,0.000050316325,0.00046571126,0.0002769899,0.41198546,0.0000064840124,0.29724562,0.28195155],"study_design_scores_gemma":[0.00058436545,0.00040982428,0.008819429,0.00005523746,0.000009304641,0.00021546704,0.000085881664,0.000027219652,0.33807018,0.0005227113,0.65109223,0.00010813932],"about_ca_topic_score_codex":0.000007517219,"about_ca_topic_score_gemma":0.0000028426916,"teacher_disagreement_score":0.3538466,"about_ca_system_score_codex":0.000088138986,"about_ca_system_score_gemma":0.00028192508,"threshold_uncertainty_score":0.9997776},"labels":[],"label_agreement":null},{"id":"W2593253308","doi":"10.2501/jar-2017-011","title":"How Reliable Are “State-of-the-Art” Facial EMG Processing Methods?","year":2017,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Facial electromyography; Computer science; Electromyography; Signal processing; SIGNAL (programming language); Facial muscles; Speech recognition; State (computer science); Artificial intelligence; Facial expression; Psychology; Communication; Neuroscience; Computer hardware; Digital signal processing; Algorithm","score_opus":0.1566239516900585,"score_gpt":0.48975900589607513,"score_spread":0.33313505420601663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593253308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92354953,0.001944414,0.012299741,0.01772646,0.0041155373,0.00043858017,0.000008232557,0.00002214146,0.039895367],"genre_scores_gemma":[0.97325987,0.000066155844,0.0051285075,0.000050495088,0.0003377304,0.0000026706016,3.9378864e-7,0.000023475402,0.021130694],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99778223,0.0005717849,0.0003911175,0.0001598896,0.0007251938,0.00036976533],"domain_scores_gemma":[0.99722725,0.00015334677,0.00086942594,0.00040312659,0.0012247884,0.00012208555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035419203,0.000093588525,0.000257535,0.00026814832,0.00079395087,0.00031804625,0.0006217105,0.000101629135,0.00011223573],"category_scores_gemma":[0.0019223953,0.00006576862,0.00016673758,0.0001831425,0.00031334895,0.00048072045,0.00013118995,0.00092294655,0.000028468958],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038612224,0.00025342798,0.012356778,0.00014515998,0.00008487835,0.00009082534,0.002080542,0.000009800308,0.027363896,0.00007817467,0.022228291,0.9349221],"study_design_scores_gemma":[0.0062302994,0.0012060776,0.60288393,0.005167037,0.00013140326,0.0010583362,0.0051986086,0.00027454895,0.1381656,0.02916324,0.20994574,0.0005752037],"about_ca_topic_score_codex":0.000020635363,"about_ca_topic_score_gemma":0.00002040023,"teacher_disagreement_score":0.9343469,"about_ca_system_score_codex":0.000076497105,"about_ca_system_score_gemma":0.00017351685,"threshold_uncertainty_score":0.61065084},"labels":[],"label_agreement":null},{"id":"W2602490472","doi":"10.2501/jar-2017-014","title":"Ambush Marketing Is Dead, Long Live Ambush Marketing","year":2017,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Ambush marketing; Typology; Pace; Marketing; Perspective (graphical); Business; Advertising; Marketing mix; Geography; Computer science","score_opus":0.08813610451369995,"score_gpt":0.37149966876035223,"score_spread":0.28336356424665227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602490472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901563,0.00065662176,0.00007716243,0.0027104176,0.0008769652,0.00018215459,0.0000012048088,0.000028397611,0.005310768],"genre_scores_gemma":[0.9952813,0.00031572452,0.00022679448,0.00018404247,0.001280356,0.000004552031,0.0000023900523,0.000037730653,0.002667145],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99684614,0.00019069639,0.0007593679,0.00031465924,0.001336149,0.0005529994],"domain_scores_gemma":[0.9957696,0.00043949124,0.0010505419,0.0006314935,0.0020491716,0.000059677637],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0110824425,0.00017968904,0.000298326,0.0007818263,0.002033165,0.003116022,0.0010522276,0.00010973892,0.0013861692],"category_scores_gemma":[0.003724507,0.0001698834,0.00021857602,0.00028301118,0.00025393072,0.0027840533,0.00047048298,0.00083763705,0.0005100659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005923974,0.00011805483,0.41683063,0.00026539972,0.00006218834,0.00015085224,0.00011977215,0.0000025935688,0.0052221143,0.00004956973,0.016623193,0.5599632],"study_design_scores_gemma":[0.0007899596,0.0000059531826,0.9820963,0.0010362614,0.000069007365,0.000045527515,0.00046466256,0.0003290317,0.0002966971,0.00016955366,0.014495248,0.00020177191],"about_ca_topic_score_codex":0.00035791707,"about_ca_topic_score_gemma":0.00009693017,"teacher_disagreement_score":0.56526566,"about_ca_system_score_codex":0.00013086389,"about_ca_system_score_gemma":0.000104697836,"threshold_uncertainty_score":0.9995267},"labels":[],"label_agreement":null},{"id":"W2623537579","doi":"10.2501/jar-2017-023","title":"Conditions in Prerelease Movie Trailers For Stimulating Positive Word of Mouth","year":2017,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Word of mouth; Advertising; Context (archaeology); Studio; Marketing; Psychology; Social psychology; Business; Art; History; Visual arts","score_opus":0.11473364064741552,"score_gpt":0.4892055768373846,"score_spread":0.37447193618996905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623537579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98100954,0.00009649891,0.000020777752,0.0015435969,0.00019625119,0.00022391551,0.000018803468,0.0000037024033,0.01688691],"genre_scores_gemma":[0.9987204,0.00004804005,0.00044079212,0.0000087153485,0.00025101248,0.0000033116391,8.225015e-7,0.00000872942,0.0005181436],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980451,0.0003574973,0.00037379333,0.00009513473,0.00077131076,0.0003571491],"domain_scores_gemma":[0.99631226,0.0022192644,0.00033746118,0.00011509022,0.0008509026,0.0001650484],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004858088,0.000055201053,0.00021887751,0.00023668092,0.0009155699,0.00014441207,0.00039813368,0.00007503123,0.000017760058],"category_scores_gemma":[0.021882543,0.000053288702,0.00011702403,0.00016331302,0.00064092106,0.000534985,0.000043477747,0.00033934615,0.0000010529048],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022145768,0.001041888,0.10743588,0.00031192036,0.00023697814,0.00021445117,0.15265907,0.00080479926,0.013489383,0.009242645,0.003965756,0.70838267],"study_design_scores_gemma":[0.0031417652,0.00048386096,0.9019677,0.0036448936,0.000035488483,0.0000040530254,0.052261956,0.0002718963,0.00088383124,0.036088698,0.0009546315,0.00026122842],"about_ca_topic_score_codex":0.0007812702,"about_ca_topic_score_gemma":0.0005735061,"teacher_disagreement_score":0.7945318,"about_ca_system_score_codex":0.00018828316,"about_ca_system_score_gemma":0.0006104607,"threshold_uncertainty_score":0.98635656},"labels":[],"label_agreement":null},{"id":"W2761610230","doi":"10.2501/jar-2017-039","title":"The Optimal Advertising-Allocation Rules For Sequentially Released Products","year":2017,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Revenue; Advertising; Empirical research; Business; Marketing; Economics; Mathematics; Statistics","score_opus":0.07611770936791136,"score_gpt":0.3652080244525701,"score_spread":0.28909031508465877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761610230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98133564,0.0009663853,0.0016583013,0.011179119,0.0013482888,0.0005417112,0.0000015693095,0.00002628628,0.002942675],"genre_scores_gemma":[0.99572986,0.000120341945,0.0012244809,0.00005564444,0.001952245,0.000009576694,0.0000034721425,0.00003459743,0.00086975534],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977634,0.000059407652,0.00053394755,0.00021590221,0.0009129059,0.00051443913],"domain_scores_gemma":[0.9956635,0.0003971097,0.0006790975,0.00056422147,0.0026645279,0.00003154112],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005590513,0.00013724974,0.00021236922,0.00032768352,0.0032301242,0.0023477895,0.0010525075,0.00006611493,0.000022080527],"category_scores_gemma":[0.0047278027,0.0000985686,0.00014537272,0.00019138926,0.00026598055,0.0019210336,0.00027438128,0.00048057662,0.0000248961],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025244954,0.00022684922,0.032913085,0.0005625406,0.00018512986,0.000110068,0.0001936824,0.000121703604,0.054492567,0.0042335843,0.024786917,0.8796494],"study_design_scores_gemma":[0.005262826,0.00027499523,0.55013394,0.0019918224,0.00046631217,0.00018119863,0.0008722416,0.008698864,0.010338127,0.009558596,0.4113689,0.0008521463],"about_ca_topic_score_codex":0.00036144536,"about_ca_topic_score_gemma":0.0000932651,"teacher_disagreement_score":0.87879723,"about_ca_system_score_codex":0.00009335188,"about_ca_system_score_gemma":0.0002702558,"threshold_uncertainty_score":0.99868786},"labels":[],"label_agreement":null},{"id":"W2891336206","doi":"10.2501/jar-2018-035","title":"Artificial Intelligence in Advertising","year":2018,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":467,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Advertising; Business","score_opus":0.11170725088362898,"score_gpt":0.46296321460463274,"score_spread":0.35125596372100376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891336206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828084,0.00029742773,0.0005773392,0.0028916888,0.0011223981,0.00012004826,5.0900576e-7,0.000017672974,0.11216456],"genre_scores_gemma":[0.9966693,0.00015470509,0.00075221324,0.00004663677,0.001889506,8.666304e-7,1.1150184e-7,0.000012110834,0.0004745486],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960626,0.00094753783,0.0006076041,0.00015186511,0.001571433,0.0006589825],"domain_scores_gemma":[0.99712443,0.001258046,0.00015027434,0.00011693994,0.0011055778,0.00024474168],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011903027,0.00007766241,0.00021381339,0.0005842209,0.0005920799,0.000247704,0.00049874315,0.00011838829,0.00013444763],"category_scores_gemma":[0.013133541,0.00007422704,0.000086066095,0.001398729,0.0011723117,0.0005615839,0.00007855109,0.0006771151,0.00006670188],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029130236,0.00018923619,0.006745928,0.000015103227,0.000015220829,0.0001630228,0.03612454,0.000009792618,0.0013243037,0.013813816,0.00117907,0.9401287],"study_design_scores_gemma":[0.0006862606,0.0029150478,0.05524455,0.005417932,0.000034896235,0.00008425759,0.1715428,0.00094688137,0.013813082,0.62856615,0.119589604,0.0011585202],"about_ca_topic_score_codex":0.0007314458,"about_ca_topic_score_gemma":0.0016990101,"teacher_disagreement_score":0.93897015,"about_ca_system_score_codex":0.00043032592,"about_ca_system_score_gemma":0.0007899492,"threshold_uncertainty_score":0.99517924},"labels":[],"label_agreement":null},{"id":"W2913733706","doi":"10.2501/jar-2019-001","title":"Dynamic Asymmetric Effects of Cross-Media Exposures over the Purchase Cycle","year":2019,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Advertising; Variation (astronomy); Business; Television advertising; Consumer demand; Economics; Marketing; Microeconomics","score_opus":0.07306875345770616,"score_gpt":0.4549953231124735,"score_spread":0.38192656965476734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913733706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945693,0.0006317461,0.00068850745,0.00037042552,0.0010040866,0.00017886244,0.000001981407,0.0000047121625,0.002550368],"genre_scores_gemma":[0.99826276,0.000030683186,0.00039126712,0.00008176693,0.00010103337,9.47306e-7,3.2476478e-7,0.000013294656,0.0011178962],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9927881,0.0005604459,0.0012181893,0.00021393194,0.0048255166,0.00039385507],"domain_scores_gemma":[0.9852704,0.0101199085,0.0007580833,0.0005208109,0.0032066777,0.0001241407],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015231008,0.000105178304,0.00034067087,0.001838266,0.00025697413,0.0003817869,0.0012071704,0.000090091766,0.00039203596],"category_scores_gemma":[0.034019973,0.00005755937,0.00019841651,0.0040251967,0.00032690368,0.00054871646,0.00029672816,0.0008121595,0.00013658886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006620121,0.0004400682,0.2929092,0.00012030281,0.00008452382,0.00016790004,0.00407606,0.0016490709,0.084581316,0.0025975998,0.00645363,0.60625833],"study_design_scores_gemma":[0.0019508015,0.0005559369,0.9575473,0.00029642787,0.000007098593,0.00009492345,0.0009217157,0.011987931,0.008825377,0.015023216,0.0026638282,0.00012541105],"about_ca_topic_score_codex":0.000018201004,"about_ca_topic_score_gemma":0.000004257455,"teacher_disagreement_score":0.6646381,"about_ca_system_score_codex":0.00010009609,"about_ca_system_score_gemma":0.00023436276,"threshold_uncertainty_score":0.97411686},"labels":[],"label_agreement":null},{"id":"W2919293091","doi":"10.2501/jar-2019-007","title":"The Relationship between Fake News And Advertising","year":2019,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Advertising; Presidential campaign; Presidential system; Political science; Business; Law; Politics","score_opus":0.14675102096577167,"score_gpt":0.45682625985428704,"score_spread":0.3100752388885154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919293091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580891,0.0005834879,0.00012103429,0.007397417,0.00022005566,0.00015021386,5.4352984e-7,0.000008413052,0.033429746],"genre_scores_gemma":[0.9950166,0.00035259858,0.00018068659,0.00006656998,0.00029890228,1.3497639e-7,2.2676575e-7,0.000006834903,0.004077477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972096,0.000565779,0.0004216869,0.00007140357,0.0013345372,0.0003970078],"domain_scores_gemma":[0.9952261,0.0037225373,0.00019678223,0.00014149629,0.0004603594,0.0002527584],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0071444,0.000058137437,0.00013273822,0.00023578545,0.0013815197,0.00046488125,0.00029917192,0.00008130763,0.00006302607],"category_scores_gemma":[0.007024826,0.00003941853,0.000054420718,0.00049450534,0.000269324,0.000977857,0.000057734116,0.000646625,0.000072096234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068472094,0.000011405191,0.82696986,0.00002392668,0.000025348054,0.0000045879133,0.02828874,0.000017548957,0.00012859263,0.015369941,0.0076906965,0.121400855],"study_design_scores_gemma":[0.00045820014,0.00012496757,0.87361664,0.00022097644,0.00000679831,0.000011622852,0.01903007,0.000024552948,0.000053049265,0.0073891724,0.09898318,0.00008075205],"about_ca_topic_score_codex":0.00020751126,"about_ca_topic_score_gemma":0.00013060408,"teacher_disagreement_score":0.1213201,"about_ca_system_score_codex":0.00017635885,"about_ca_system_score_gemma":0.00046665213,"threshold_uncertainty_score":0.9999185},"labels":[],"label_agreement":null},{"id":"W3104534219","doi":"10.2501/jar-2020-028","title":"A 60-Year Bibliographic Review of the <i>Journal of Advertising Research</i>","year":2020,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Citation; Productivity; Library science; Scale (ratio); Web of science; Institution; Political science; World Wide Web; Advertising; Computer science; Business; Geography; MEDLINE; Economics; Economic growth","score_opus":0.7066735306888975,"score_gpt":0.6260799739364323,"score_spread":0.08059355675246516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104534219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7373929,0.20970534,0.0021407811,0.04277611,0.0015124328,0.0009770652,0.000032546846,0.000010577846,0.0054522515],"genre_scores_gemma":[0.88780355,0.1096591,0.0012861347,0.00048740738,0.00051304867,0.0000010442982,2.726828e-7,0.000033591656,0.00021584728],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9351049,0.0072737383,0.0043070726,0.000521013,0.05132521,0.0014680881],"domain_scores_gemma":[0.9044801,0.02175443,0.0029892917,0.001516325,0.06749494,0.001764917],"candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.20467483,0.00022519182,0.0011597831,0.10892947,0.0006803979,0.0010987842,0.009109919,0.00019262957,0.00048575888],"category_scores_gemma":[0.24482179,0.00012546257,0.0010179369,0.43725577,0.0014000176,0.0015908023,0.0022374657,0.004161816,0.000067005356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011641327,0.00068513345,0.09503556,0.0018884623,0.00026277726,0.000479727,0.0013757836,0.00019698014,0.06096918,0.00025947354,0.7239581,0.11372474],"study_design_scores_gemma":[0.009559115,0.016121598,0.30124128,0.055980247,0.00029413728,0.0026064645,0.0118118785,0.0024203283,0.07603163,0.033384647,0.48921338,0.0013353121],"about_ca_topic_score_codex":0.000061491366,"about_ca_topic_score_gemma":0.000005561316,"teacher_disagreement_score":0.32832628,"about_ca_system_score_codex":0.000257435,"about_ca_system_score_gemma":0.002611787,"threshold_uncertainty_score":0.9999382},"labels":[],"label_agreement":null},{"id":"W4300862205","doi":"10.2501/jar-2022-022","title":"Foreign versus Local Consumer Culture Positioning when Entering Foreign Markets","year":2022,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ethnocentrism; Advertising; Consumer ethnocentrism; Business; Marketing; Style (visual arts); Consumer Culture; Affect (linguistics); Psychology; Social psychology","score_opus":0.06898455132850352,"score_gpt":0.33217238133219745,"score_spread":0.26318783000369395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300862205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779421,0.0016729857,0.0021800292,0.0006377934,0.0013661351,0.00032417395,0.0000054241864,0.000053878728,0.015817495],"genre_scores_gemma":[0.99844223,0.00005300346,0.00026273023,0.00013129282,0.0003707152,0.000017815,0.000016238599,0.000025855676,0.0006801243],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749875,0.00011828757,0.0005205247,0.0002129752,0.0012723632,0.00037711466],"domain_scores_gemma":[0.9985131,0.00012175616,0.00032116944,0.00021093886,0.000793964,0.00003906386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021493393,0.00012889934,0.00019615672,0.0007529941,0.0011467813,0.0005255392,0.0004665372,0.00004785971,0.0020315575],"category_scores_gemma":[0.00019978159,0.00012609773,0.00016228552,0.0005015852,0.00013289775,0.0011668651,0.00037335494,0.0008237413,0.00007691378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008103538,0.0008146039,0.05782606,0.00040618563,0.00043230935,0.00068749156,0.0010051056,0.00072634255,0.0268969,0.013963442,0.14287087,0.74626714],"study_design_scores_gemma":[0.014863083,0.0002892246,0.15066452,0.0009188973,0.0005576156,0.000837089,0.025992168,0.008105438,0.0013900907,0.020996533,0.77414656,0.0012388108],"about_ca_topic_score_codex":0.00010063051,"about_ca_topic_score_gemma":0.000011064006,"teacher_disagreement_score":0.7450283,"about_ca_system_score_codex":0.0002888627,"about_ca_system_score_gemma":0.00008072603,"threshold_uncertainty_score":0.99888074},"labels":[],"label_agreement":null},{"id":"W4404593514","doi":"10.2501/jar-2024-028","title":"Make Cause-Related Marketing Messages about Your Customers, Not the Brand","year":2024,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Marketing; Advertising","score_opus":0.0826138510653882,"score_gpt":0.3704088200849142,"score_spread":0.287794969019526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404593514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810035,0.005705704,0.000027210852,0.0076778866,0.0016405619,0.00019626418,0.0000016610979,0.00006459952,0.0036825764],"genre_scores_gemma":[0.99375796,0.0006292329,0.00001696014,0.00012698074,0.0006508071,0.0000046845435,0.000002889959,0.00003106838,0.00477944],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975745,0.00015642171,0.0006158814,0.00021028022,0.0010909169,0.0003519961],"domain_scores_gemma":[0.99836123,0.0004524787,0.0001963846,0.00024039266,0.0007211008,0.000028425075],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0068705184,0.00012797712,0.00017846368,0.0008445228,0.0005704639,0.0017734384,0.00045381632,0.00008045892,0.0006126659],"category_scores_gemma":[0.0007132269,0.00008768073,0.00017176426,0.0010648901,0.00017737669,0.0009405818,0.00014436757,0.0009438498,0.00037126598],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003185951,0.00008558217,0.012335276,0.00044162342,0.00022390763,0.0002859335,0.00038212884,0.000038887192,0.02494456,0.0014991604,0.03146984,0.9279745],"study_design_scores_gemma":[0.000949624,0.000009401596,0.6485964,0.0017848139,0.0002971818,0.00020021621,0.0012362723,0.0021638398,0.0004116773,0.00070953486,0.343357,0.00028406654],"about_ca_topic_score_codex":0.000089423585,"about_ca_topic_score_gemma":0.000027077416,"teacher_disagreement_score":0.92769045,"about_ca_system_score_codex":0.000086563916,"about_ca_system_score_gemma":0.00010172075,"threshold_uncertainty_score":0.9992628},"labels":[],"label_agreement":null},{"id":"W4408178873","doi":"10.1080/00218499.2025.2464288","title":"Does Sadness Sell? The Use of Negative Emotions in Fundraising Appeals: Fundraising Strategies for For-profit and Nonprofit Organizations","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Sadness; Business; For profit; Marketing; Profit (economics); Public relations; Advertising; Finance; Economics; Psychology; Microeconomics; Social psychology; Political science","score_opus":0.13868271546370767,"score_gpt":0.44501779840642824,"score_spread":0.3063350829427206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408178873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321923,0.00026545904,0.06062704,0.005215594,0.0004473204,0.0008534554,0.000016488133,0.00001196458,0.00037037124],"genre_scores_gemma":[0.99490255,0.00014961576,0.004065048,0.000033065164,0.0001909487,0.000011428902,9.933486e-7,0.000016515018,0.00062985567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796456,0.00041100904,0.0005063228,0.00017844413,0.0004974803,0.00044216224],"domain_scores_gemma":[0.9934175,0.0041192686,0.00021220489,0.00014249756,0.0020325668,0.00007593117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036531042,0.00010276739,0.00027867898,0.0005474465,0.0012940331,0.00047563345,0.00030622,0.00010305454,0.000009102847],"category_scores_gemma":[0.004771385,0.000065520384,0.00008104684,0.0015936281,0.00055736105,0.0009995007,0.000081649916,0.00039377663,2.0700065e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011070074,0.00018436396,0.468734,0.0019294084,0.0005337908,0.000016422046,0.17590229,0.0063541946,0.08074686,0.21857074,0.0028285175,0.043092392],"study_design_scores_gemma":[0.0047754147,0.00069552666,0.3805865,0.0070925266,0.00022273835,0.000016302698,0.37074047,0.0071976995,0.012585231,0.2013884,0.013993176,0.0007059878],"about_ca_topic_score_codex":0.0016135988,"about_ca_topic_score_gemma":0.003982432,"teacher_disagreement_score":0.19483818,"about_ca_system_score_codex":0.00023142277,"about_ca_system_score_gemma":0.0011666325,"threshold_uncertainty_score":0.9952787},"labels":[],"label_agreement":null},{"id":"W4408186789","doi":"10.1080/00218499.2025.2464289","title":"The Effects of Dialect Wording on Advertisement Recall: How Brands Can Use Dialect Advertising to Deepen Their Connection with Consumers","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Advertising; Recall; Connection (principal bundle); Business; Psychology; Engineering","score_opus":0.03675893600150777,"score_gpt":0.31158774604176226,"score_spread":0.2748288100402545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408186789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921772,0.0005607721,0.00093521236,0.0039759874,0.0012770994,0.00071371114,0.0000013352625,0.000028494047,0.0003301841],"genre_scores_gemma":[0.9983382,0.0002994776,0.000061321225,0.00025730548,0.00014633301,0.000028522785,0.0000030016488,0.000028543167,0.000837251],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99743867,0.00022678806,0.0005906954,0.00030259383,0.0009584318,0.0004828333],"domain_scores_gemma":[0.995926,0.0018351804,0.0004160395,0.00039065958,0.0013739751,0.00005810451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020212915,0.00021722035,0.00036527053,0.0012430021,0.00092802226,0.00097023905,0.00046812257,0.00007931006,0.000016293872],"category_scores_gemma":[0.0026333248,0.00014810805,0.0001636403,0.0015690061,0.00020181331,0.00082091894,0.00014247553,0.00057253055,0.0000075195694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003103846,0.00026134774,0.106733896,0.00048811358,0.00042101525,0.000043836553,0.00034912722,0.00011832128,0.08950873,0.000769022,0.006140754,0.792062],"study_design_scores_gemma":[0.005394874,0.0003838122,0.88576585,0.0076313517,0.0005047158,0.000027161506,0.0012084135,0.00045494494,0.05315098,0.0006865101,0.04421997,0.00057143264],"about_ca_topic_score_codex":0.00044920255,"about_ca_topic_score_gemma":0.0008957657,"teacher_disagreement_score":0.79149055,"about_ca_system_score_codex":0.00030009155,"about_ca_system_score_gemma":0.00019951073,"threshold_uncertainty_score":0.9356038},"labels":[],"label_agreement":null},{"id":"W4408518093","doi":"10.1080/00218499.2025.2454120","title":"When AI Doesn’t Sell Prada: Why Using AI-Generated Advertisements Backfires for Luxury Brands","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Advertising; Business; Marketing; Commerce","score_opus":0.0861054117635164,"score_gpt":0.39350054852550526,"score_spread":0.3073951367619889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408518093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739169,0.0014871322,0.009891796,0.011335894,0.0019795815,0.00074170687,0.000006886458,0.000051624702,0.0005884726],"genre_scores_gemma":[0.9917871,0.00012545477,0.0008853558,0.0031971817,0.0007999718,0.000019924819,0.00002430346,0.000041765394,0.003118938],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743587,0.00008759748,0.0008454511,0.00030106778,0.00085065915,0.0004793351],"domain_scores_gemma":[0.99658024,0.00014032648,0.000333998,0.0002911619,0.0026126958,0.000041572606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021173195,0.00018549882,0.00032412278,0.0013766346,0.000678699,0.00093615334,0.00049050094,0.0001236519,0.00033741826],"category_scores_gemma":[0.00046528605,0.0001683117,0.00019956012,0.00090074714,0.00011783052,0.0018568669,0.00016856781,0.00052173476,0.00003283456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017720899,0.00079253,0.09256146,0.0011492694,0.00044940817,0.00004637718,0.00022094026,0.0003988271,0.19875021,0.0015681856,0.4260271,0.2762636],"study_design_scores_gemma":[0.01186131,0.00008287423,0.22998019,0.0032754526,0.000973949,0.000043797343,0.00073726824,0.032100122,0.01714911,0.018586926,0.684213,0.0009959884],"about_ca_topic_score_codex":0.000346928,"about_ca_topic_score_gemma":0.00010743647,"teacher_disagreement_score":0.27526763,"about_ca_system_score_codex":0.00023030947,"about_ca_system_score_gemma":0.00029340433,"threshold_uncertainty_score":0.9027348},"labels":[],"label_agreement":null},{"id":"W4409178246","doi":"10.1080/00218499.2025.2464281","title":"The Effectiveness of Background Blurriness in Video Advertisements: How Video Background Blurriness and Construal Level Shape Consumer Perception","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Perception; Psychology; Construal level theory; Advertising; Social psychology; Business","score_opus":0.13658548201912893,"score_gpt":0.47550428140596646,"score_spread":0.33891879938683755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409178246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99317515,0.0027668285,0.0005660763,0.0008546735,0.0011146546,0.00051243015,0.000017347102,0.000007316869,0.000985553],"genre_scores_gemma":[0.9984649,0.00047215162,0.00013437316,0.00003964634,0.00007199147,0.000036882495,0.000003372933,0.000020923051,0.00075575593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99493253,0.002376109,0.001002372,0.00033113823,0.00069384306,0.000664007],"domain_scores_gemma":[0.9955459,0.0023734893,0.00030570562,0.0003579934,0.0012354167,0.00018148957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070984573,0.00020289948,0.00051185227,0.00085802615,0.00039861788,0.00015520991,0.00046388188,0.00019825861,0.00026494928],"category_scores_gemma":[0.00045717973,0.00015547257,0.00016987041,0.00097227807,0.0008467824,0.00048603167,0.00020595563,0.0011249527,0.000014015213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071403882,0.0016084746,0.55667263,0.0011583817,0.00038272512,0.00016737073,0.00082633295,0.000008951768,0.014531007,0.0069201184,0.0040945676,0.40648907],"study_design_scores_gemma":[0.0040995153,0.0005869544,0.98388016,0.0027252184,0.00004932318,0.0001664164,0.0052168374,0.00007907005,0.000303219,0.0006910992,0.0020630579,0.0001391434],"about_ca_topic_score_codex":0.0009089563,"about_ca_topic_score_gemma":0.00040144328,"teacher_disagreement_score":0.42720753,"about_ca_system_score_codex":0.0004093067,"about_ca_system_score_gemma":0.0003677632,"threshold_uncertainty_score":0.6339988},"labels":[],"label_agreement":null},{"id":"W4411728348","doi":"10.1080/00218499.2025.2498830","title":"Examining Consumer Appraisals of Deepfake Advertising and Disclosure: Show Deepfakes as “Real Life” or Say They’re “Just Fantasy”?","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Fantasy; Advertising; Psychology; Social psychology; Business; Art; Literature","score_opus":0.11296515490667057,"score_gpt":0.3891899783942207,"score_spread":0.2762248234875501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411728348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99223024,0.0019319993,0.0003479143,0.0010284423,0.00057114754,0.00027637786,0.0000030189783,0.000031595377,0.0035792745],"genre_scores_gemma":[0.9974498,0.0010663444,0.00020671637,0.00014345447,0.00024293459,0.000007349179,0.0000061864694,0.000028954935,0.0008482654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698645,0.00016370117,0.0010550297,0.00033937604,0.0010080021,0.00044742395],"domain_scores_gemma":[0.9970273,0.00074675307,0.0005860473,0.00033294648,0.001236326,0.00007066407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027836883,0.00022530789,0.0004983973,0.0013176019,0.00049706915,0.0006163448,0.00043909074,0.00014930294,0.00028278466],"category_scores_gemma":[0.0020453264,0.00018127992,0.00012769055,0.00088418333,0.00035280397,0.0014236995,0.00027804342,0.00059111015,0.000027263666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016270054,0.0003856092,0.52779543,0.0010645047,0.00032076534,0.00008642237,0.0008110308,0.000035795565,0.04522071,0.0028570185,0.00464575,0.41514993],"study_design_scores_gemma":[0.0027854599,0.0000624641,0.97354656,0.0022996438,0.00043213274,0.00006736826,0.007099808,0.00049724145,0.0021135302,0.0009536115,0.009757881,0.00038428654],"about_ca_topic_score_codex":0.00051392586,"about_ca_topic_score_gemma":0.00040125631,"teacher_disagreement_score":0.44575113,"about_ca_system_score_codex":0.00007232904,"about_ca_system_score_gemma":0.0003637311,"threshold_uncertainty_score":0.739238},"labels":[],"label_agreement":null},{"id":"W4412123179","doi":"10.1080/00218499.2025.2491873","title":"Unpacking Consumer Envy Towards Virtual Influencers: Role of Deservingness and Impact on Consumer Engagement","year":2025,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Unpacking; Influencer marketing; Business; Marketing; Psychology; Consumer research; Advertising; Relationship marketing; Marketing management","score_opus":0.05640547793613635,"score_gpt":0.3805559984502662,"score_spread":0.32415052051412985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412123179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624276,0.001521358,0.0000603757,0.00039457728,0.00027393457,0.00018933906,0.0000024360331,0.000014056599,0.0013011724],"genre_scores_gemma":[0.99925274,0.00029984993,0.000054799544,0.000111074914,0.00009079428,0.0000049397436,0.0000023386579,0.000013593172,0.00016986261],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979387,0.00012097049,0.0006332049,0.00020738356,0.00079979544,0.00029997606],"domain_scores_gemma":[0.997759,0.00030041445,0.00034864855,0.00026063854,0.0012952071,0.000036133013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026213487,0.00015461673,0.00030660164,0.0014039875,0.0003127196,0.00039883523,0.0003533562,0.00007950088,0.00024527646],"category_scores_gemma":[0.00075046805,0.00012650799,0.00012772933,0.0007625493,0.00026122315,0.0008551807,0.00023550684,0.0005411498,0.000027204822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006122513,0.00024099648,0.24674277,0.0002122204,0.0001899993,0.000014859567,0.0002573365,0.00008392687,0.046506163,0.0022057407,0.0017033682,0.70123035],"study_design_scores_gemma":[0.0016550628,0.000054117605,0.97343314,0.001292493,0.00016406954,0.000010341694,0.0019917185,0.00054801384,0.0053355806,0.0021949806,0.013118405,0.00020210358],"about_ca_topic_score_codex":0.00052223686,"about_ca_topic_score_gemma":0.00002035456,"teacher_disagreement_score":0.72669035,"about_ca_system_score_codex":0.00013445255,"about_ca_system_score_gemma":0.00022397225,"threshold_uncertainty_score":0.51588464},"labels":[],"label_agreement":null},{"id":"W81009961","doi":"10.2501/jar-42-3-73-81","title":"Advertising Trends in Urban China","year":2002,"lang":"en","type":"article","venue":"Journal of Advertising Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telephone survey; China; Advertising; Psychological resilience; Psychology; Social psychology; Marketing; Business; Political science","score_opus":0.08632384762560182,"score_gpt":0.3461228789813943,"score_spread":0.2597990313557925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W81009961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98572636,0.0011779603,0.000037681068,0.0020350232,0.00049546175,0.00006920017,3.6331573e-7,0.000021734644,0.010436235],"genre_scores_gemma":[0.99662185,0.0001104328,0.000067816094,0.00007592303,0.0005411916,0.0000022730258,0.000001953036,0.000019282299,0.002559301],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99791104,0.000059410926,0.00061369326,0.00018227716,0.0008616854,0.00037191508],"domain_scores_gemma":[0.99903625,0.000055124707,0.0002417619,0.00021576029,0.00042038166,0.000030703748],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015969357,0.00011203924,0.00021066151,0.0024388183,0.00023030525,0.0004287756,0.00035890721,0.00006873698,0.002026237],"category_scores_gemma":[0.00026792692,0.00010374561,0.00012263696,0.0016233352,0.00009209305,0.0016273194,0.0000909288,0.0006171055,0.00023456228],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007205146,0.0002815659,0.11069853,0.000043635555,0.000014062973,0.00010344543,0.00027009638,0.000023957078,0.004924695,0.00035464842,0.02717974,0.85603356],"study_design_scores_gemma":[0.0011484029,0.0000124010385,0.9563556,0.00028403258,0.000023691104,0.00003915699,0.00012922281,0.001977817,0.0001279455,0.0005690136,0.039171197,0.00016153263],"about_ca_topic_score_codex":0.00020827935,"about_ca_topic_score_gemma":0.00006924249,"teacher_disagreement_score":0.85587204,"about_ca_system_score_codex":0.00013257387,"about_ca_system_score_gemma":0.000015253819,"threshold_uncertainty_score":0.99888605},"labels":[],"label_agreement":null}]}