{"meta":{"query_hash":"c433d9236c5e","filters":{"venue":"Customer Needs and Solutions"},"cohort_total":16,"direct_labels_cover":0,"predictions_cover":16,"exported":16,"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/c433d9236c5e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Customer+Needs+and+Solutions"},"results":[{"id":"W1843595282","doi":"10.1007/s40547-015-0054-z","title":"Maximal or Minimal Differentiation in a Hotelling Market? A Fresh Perspective","year":2015,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Competition (biology); Economics; Product differentiation; Microeconomics; Perspective (graphical); Mathematics","score_opus":0.055329678347898203,"score_gpt":0.2641596123911912,"score_spread":0.20882993404329298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1843595282","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":[0.94705874,0.0005626131,0.0005999555,0.0008199259,0.00034858444,0.00023283332,0.000005083701,0.00009037817,0.05028187],"genre_scores_gemma":[0.99858034,0.00003218915,0.000107950065,0.00014887624,0.00027434944,0.000025246647,0.000008440665,0.000015962989,0.00080665684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991305,0.000018260256,0.00019388743,0.00019927221,0.00015304786,0.00030504187],"domain_scores_gemma":[0.9995973,0.00004583603,0.0000685917,0.00011702104,0.0001398085,0.000031440024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033391747,0.00014302939,0.00016797982,0.00057711225,0.00018977106,0.000201947,0.000087484936,0.00006764731,0.0003525844],"category_scores_gemma":[0.00011102477,0.00012610106,0.00004551693,0.0007397571,0.000064881926,0.00060037494,0.00012939032,0.00015628671,0.000051452957],"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":[0.001295473,0.0007611829,0.87429094,0.00019606613,0.000111516565,0.000091629925,0.006935595,0.00006239079,0.0009154805,0.0526401,0.029969528,0.032730103],"study_design_scores_gemma":[0.0032884735,0.000039501636,0.8724395,0.00015447591,0.0003563843,0.000025560832,0.032706402,0.029608637,0.000009681299,0.003647522,0.05683896,0.00088487135],"about_ca_topic_score_codex":0.0016166718,"about_ca_topic_score_gemma":0.0012031015,"teacher_disagreement_score":0.051521573,"about_ca_system_score_codex":0.00006299456,"about_ca_system_score_gemma":0.000040585768,"threshold_uncertainty_score":0.51422524},"labels":[],"label_agreement":null},{"id":"W2017811211","doi":"10.1007/s40547-015-0046-z","title":"The Multidimensional Nature of Product Perceptions within Asia","year":2015,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Perception; Product (mathematics); Construct (python library); Product category; Ethnocentrism; Scrutiny; Consumer ethnocentrism; Marketing; Space (punctuation); Cognitive psychology; Psychology; Social psychology; Business; Computer science; Political science; Mathematics","score_opus":0.04075379953250115,"score_gpt":0.2678677255352153,"score_spread":0.22711392600271418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017811211","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":[0.99111545,0.0012475654,0.00005404817,0.0028411099,0.0010834824,0.00023914338,0.00000712948,0.00007189616,0.0033401775],"genre_scores_gemma":[0.9979073,0.00004072054,0.00008478302,0.000111258225,0.0001886612,0.000028115215,0.000025446947,0.000008513554,0.0016052054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993048,0.000012954765,0.00021171337,0.00013607775,0.000191367,0.00014309224],"domain_scores_gemma":[0.9992698,0.00002186469,0.00011022837,0.00021460452,0.0003609001,0.000022606846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749499,0.000089324174,0.000088542,0.00017454087,0.00056085223,0.00010922616,0.00010044866,0.000057906236,0.00004759826],"category_scores_gemma":[0.00008342345,0.00006497807,0.000046923968,0.00040064537,0.0002202881,0.00035881027,0.00008389915,0.00017470603,0.00017195976],"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":[0.00010653546,0.00046004314,0.09894734,0.00008376905,0.00010220368,0.0000016623638,0.0012717294,0.00008994237,0.013729414,0.6811588,0.11830323,0.085745335],"study_design_scores_gemma":[0.00074038096,0.0000038257244,0.5846647,0.000030981035,0.00019204816,0.000012397185,0.0052776523,0.0015724557,0.000047884103,0.0013128518,0.40588257,0.00026225977],"about_ca_topic_score_codex":0.00012734455,"about_ca_topic_score_gemma":0.000115196824,"teacher_disagreement_score":0.6798459,"about_ca_system_score_codex":0.000013792274,"about_ca_system_score_gemma":0.000038607996,"threshold_uncertainty_score":0.43136787},"labels":[],"label_agreement":null},{"id":"W2024801680","doi":"10.1007/s40547-015-0044-1","title":"Research Opportunities in Emerging Markets: an Inter-disciplinary Perspective from Marketing, Economics, and Psychology","year":2015,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Emerging markets; Scope (computer science); Perspective (graphical); Discipline; Marketing; Exploit; Economics; Business; Sociology; Social science","score_opus":0.2048460648982203,"score_gpt":0.37039327395508714,"score_spread":0.16554720905686685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024801680","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":[0.86220473,0.00026993634,0.00003888856,0.00974222,0.00037411743,0.00012153525,0.0000064586334,0.000032101358,0.12721],"genre_scores_gemma":[0.99671346,0.00031975954,0.00018826626,0.0013040873,0.00032066752,0.0000288585,0.000040136943,0.00001597988,0.0010688057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990797,0.00006217447,0.00025041922,0.00025763456,0.000059366394,0.00029070603],"domain_scores_gemma":[0.99950075,0.000051120172,0.000070051814,0.00013811857,0.000202501,0.00003747899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132548,0.00011043342,0.0001543823,0.0008561094,0.00031714313,0.0001888142,0.00011021511,0.000077682605,0.00015906237],"category_scores_gemma":[0.00006416858,0.00011899664,0.000016361755,0.00024010254,0.00025347187,0.00076203555,0.00028346636,0.00020608726,0.0000485021],"study_design_candidate":"theoretical_or_conceptual","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":[0.00038066157,0.00037037497,0.09806893,0.000051949115,0.0001295338,0.000025825282,0.02263762,0.000026747646,0.000026948492,0.7327406,0.10545158,0.04008926],"study_design_scores_gemma":[0.0014430897,0.000018140665,0.24023207,0.00004897001,0.000016222648,0.000005479678,0.3325937,0.0060965354,4.0902805e-7,0.032560587,0.38656595,0.0004188366],"about_ca_topic_score_codex":0.00083127024,"about_ca_topic_score_gemma":0.00037033792,"teacher_disagreement_score":0.70018,"about_ca_system_score_codex":0.0001295959,"about_ca_system_score_gemma":0.00006062388,"threshold_uncertainty_score":0.48525423},"labels":[],"label_agreement":null},{"id":"W2065043189","doi":"10.1007/s40547-014-0027-7","title":"Asymmetric Impact of Reference Point Confidence on Consumer Evaluations","year":2014,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sensitivity (control systems); Point (geometry); Confidence interval; Computer science; Loss aversion; Point estimation; Econometrics; Reference price; Prospect theory; Statistics; Economics; Mathematics; Microeconomics; Engineering","score_opus":0.0551549935082718,"score_gpt":0.30950750090847934,"score_spread":0.25435250740020754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065043189","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":[0.81627077,0.000512061,0.0021434373,0.00038967223,0.00030561918,0.00040801967,0.000019805915,0.00011017025,0.17984042],"genre_scores_gemma":[0.99937874,0.00005405386,0.000040653522,0.00018521505,0.00008418443,0.000025454849,0.000016001817,0.000011766546,0.00020390526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990995,0.000028321336,0.00024692804,0.00017393027,0.00020149944,0.00024985368],"domain_scores_gemma":[0.9991154,0.00020814211,0.00014305353,0.00025710202,0.00024878953,0.000027488168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058129715,0.00014537243,0.00020362371,0.0006074057,0.0002952459,0.0000968433,0.00012271851,0.00005963108,0.00039030143],"category_scores_gemma":[0.00028451422,0.00012276215,0.00009324899,0.0010140804,0.00013582112,0.00035200722,0.000090415495,0.00014712372,0.00020068607],"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":[0.000115484,0.00040809478,0.25323066,0.00016154262,0.00016222449,0.0000018257716,0.00022423812,0.00024674548,0.003536499,0.43733582,0.01897118,0.2856057],"study_design_scores_gemma":[0.0010446409,0.0000865307,0.93785363,0.0001335749,0.00044260867,0.0000068888994,0.00026383702,0.008697436,0.000033721848,0.0034301311,0.047516953,0.0004900434],"about_ca_topic_score_codex":0.0014233122,"about_ca_topic_score_gemma":0.000052190928,"teacher_disagreement_score":0.684623,"about_ca_system_score_codex":0.000022771912,"about_ca_system_score_gemma":0.000038472863,"threshold_uncertainty_score":0.5006096},"labels":[],"label_agreement":null},{"id":"W2089373745","doi":"10.1007/s40547-014-0029-5","title":"An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research","year":2014,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conjoint analysis; Key (lock); Management science; Data science; Engineering ethics; Sociology; Computer science; Engineering; Economics; Preference","score_opus":0.27954412464647427,"score_gpt":0.39828464411571873,"score_spread":0.11874051946924447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089373745","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":[0.87327915,0.084733665,0.0023334543,0.009074642,0.0004081512,0.0014194329,0.00021974737,0.000025259193,0.028506491],"genre_scores_gemma":[0.94263756,0.056283142,0.00055100006,0.0000623982,0.000056712383,0.00014839134,0.000057164187,0.000008461095,0.00019518564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988987,0.00009869488,0.00044010268,0.00026508668,0.000046066863,0.0002513852],"domain_scores_gemma":[0.9994716,0.00010389053,0.000081808146,0.00019932247,0.000060389542,0.000082998886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004416874,0.00006932399,0.0002911621,0.001006467,0.00035948292,0.00002302507,0.000084386054,0.00006715979,0.000077094795],"category_scores_gemma":[0.000053595242,0.000075671975,0.000044298667,0.000946457,0.00019262463,0.00015431338,0.00013212425,0.0001662128,0.000023200582],"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":[0.000047459438,0.0006955069,0.45637512,0.0018099665,0.0004294372,4.3525432e-7,0.006721624,0.00011406763,0.00007690297,0.4660793,0.004645076,0.06300511],"study_design_scores_gemma":[0.0006455538,0.00020299731,0.8305241,0.0004498424,0.000048974383,0.000002357577,0.004362859,0.004951598,0.000012807406,0.02175921,0.13679928,0.00024043956],"about_ca_topic_score_codex":0.000077843266,"about_ca_topic_score_gemma":0.00012250747,"teacher_disagreement_score":0.44432008,"about_ca_system_score_codex":0.00013213017,"about_ca_system_score_gemma":0.000016863678,"threshold_uncertainty_score":0.30858135},"labels":[],"label_agreement":null},{"id":"W2224455063","doi":"10.1007/s40547-015-0063-y","title":"Coordinating R&amp;D, Product Positioning, and Pricing Strategy: A Duopoly Model","year":2016,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Duopoly; Product (mathematics); Microeconomics; Quality (philosophy); Product differentiation; Preference; Industrial organization; Production (economics); Economics; Product market; Business; Cournot competition; Incentive","score_opus":0.05027058779888913,"score_gpt":0.2392846476917865,"score_spread":0.18901405989289738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224455063","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":[0.727717,0.006834377,0.18121186,0.0042295395,0.00018021108,0.00022002806,0.0001875232,0.00012902556,0.079290465],"genre_scores_gemma":[0.992985,0.0004725345,0.00068068755,0.000099303674,0.000054422475,0.000018116612,0.000006496147,0.000011449986,0.0056719948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918514,0.000010806283,0.0002890035,0.00025537022,0.00002797745,0.00023171624],"domain_scores_gemma":[0.9995657,0.000022461898,0.00010926518,0.00016412766,0.00003920402,0.000099191086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024148783,0.00010621238,0.00021407483,0.000319381,0.00038356116,0.00007773278,0.000055991924,0.000039151233,0.00022208609],"category_scores_gemma":[0.000037462767,0.000094684234,0.000054859927,0.00029666582,0.000089984016,0.00022998892,0.00004877939,0.00006622614,0.00012047367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034402074,0.000045878656,0.01594764,0.000017081973,0.00006426314,4.4919184e-7,0.0005053623,0.00023782472,0.00082342885,0.9779224,0.00084223377,0.0035900313],"study_design_scores_gemma":[0.0068413755,0.00033900645,0.12413804,0.0005846144,0.00048059353,0.00015824579,0.0038887581,0.24233288,0.0005248496,0.45315397,0.16286975,0.0046879197],"about_ca_topic_score_codex":0.000105350526,"about_ca_topic_score_gemma":0.000031799103,"teacher_disagreement_score":0.5247684,"about_ca_system_score_codex":0.00003166434,"about_ca_system_score_gemma":0.0000138788,"threshold_uncertainty_score":0.3861111},"labels":[],"label_agreement":null},{"id":"W2612304138","doi":"10.1007/s40547-017-0071-1","title":"Individuals’ Decisions in the Presence of Multiple Goals","year":2017,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"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; University of Alberta","funders":"Australian Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Network for Studies on Pensions, Aging and Retirement","keywords":"Management science; Computer science; Decision maker; Key (lock); Conceptual framework; Identification (biology); Economics; Sociology","score_opus":0.17779309187171674,"score_gpt":0.2655253398614897,"score_spread":0.08773224798977294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612304138","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":[0.9805263,0.00081060984,0.00046332658,0.0007636377,0.000112097136,0.00014162702,0.00009995816,0.0000033803035,0.017079035],"genre_scores_gemma":[0.9987036,0.00069785205,0.00019442465,0.000064190135,0.000021637557,0.000025636902,0.000005906561,0.000004553056,0.00028219807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942434,0.00001272615,0.0002778645,0.00012393751,0.000023056211,0.00013808633],"domain_scores_gemma":[0.99928874,0.0001310028,0.00019035123,0.00035758852,0.000004388559,0.000027932094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128457,0.00005878465,0.00014316279,0.00011964266,0.00036275314,0.000053725376,0.00025474068,0.000047504913,0.00006892591],"category_scores_gemma":[0.00023207974,0.000053099127,0.000041020354,0.00005661408,0.00018696582,0.00023676746,0.00009983723,0.00007472058,0.00013728668],"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":[9.642807e-7,0.000047779435,0.8933168,0.0000017406892,0.000007747566,1.4600626e-7,0.0011535182,0.000089260604,0.0000144658525,0.10376162,0.000622807,0.0009831223],"study_design_scores_gemma":[0.0002954126,0.000011485486,0.97815937,0.000008441126,0.000003716866,0.0000012191682,0.0005938743,0.0012098107,0.0000067749447,0.009720023,0.009923449,0.000066435365],"about_ca_topic_score_codex":0.0003760143,"about_ca_topic_score_gemma":0.000087810105,"teacher_disagreement_score":0.09404159,"about_ca_system_score_codex":0.000019294666,"about_ca_system_score_gemma":0.0000053856274,"threshold_uncertainty_score":0.27900404},"labels":[],"label_agreement":null},{"id":"W2655524689","doi":"10.1007/s40547-017-0072-0","title":"Advancing Non-compensatory Choice Models in Marketing","year":2017,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Extant taxon; Compensatory growth (organ); Perspective (graphical); Identification (biology); Process (computing); Decision process; Intertemporal choice; Economics; Psychology; Computer science; Management science; Microeconomics; Biology; Artificial intelligence; Ecology","score_opus":0.03048146389220055,"score_gpt":0.262499628070738,"score_spread":0.23201816417853746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2655524689","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":[0.86985743,0.0003073357,0.00034675057,0.00065129355,0.00043715493,0.00018095963,0.0000017924607,0.00006367255,0.12815359],"genre_scores_gemma":[0.9988132,0.000049536025,0.00011036227,0.00026148878,0.00030354812,0.000020979594,0.0000036270117,0.000020234364,0.00041702087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990187,0.000012451925,0.00021417951,0.00021610245,0.000119844735,0.0004187211],"domain_scores_gemma":[0.9993282,0.00008729636,0.00014419739,0.00035327367,0.00006245326,0.000024585379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081853516,0.00015159132,0.00019315378,0.00039848147,0.0011972314,0.000436042,0.00023369545,0.00006295829,0.000082494866],"category_scores_gemma":[0.00016223134,0.00015758758,0.000054603104,0.00019765332,0.00010164502,0.0017330232,0.00035502133,0.00020279398,0.000047663256],"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":[0.00003538705,0.00008966688,0.8914797,0.00018530912,0.000020809655,0.000018560244,0.00023358148,0.00018351348,0.0012279182,0.007208262,0.0026361109,0.096681185],"study_design_scores_gemma":[0.00062099006,0.0000015536649,0.92378294,0.00015697922,0.00006290939,0.0000028697261,0.0004461492,0.038666215,0.0000023319044,0.00051837816,0.035423424,0.00031526946],"about_ca_topic_score_codex":0.0023553171,"about_ca_topic_score_gemma":0.0012020575,"teacher_disagreement_score":0.12895575,"about_ca_system_score_codex":0.00002542237,"about_ca_system_score_gemma":0.00002060886,"threshold_uncertainty_score":0.9208256},"labels":[],"label_agreement":null},{"id":"W2789906573","doi":"10.1007/s40547-018-0089-z","title":"Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis","year":2018,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Marketing; Marketing research; Latent Dirichlet allocation; Marketing management; Quantitative marketing research; Quantitative analysis (chemistry); Product (mathematics); Marketing science; Service (business); Promotion (chess); Return on marketing investment; Sociology; Business; Relationship marketing; Topic model; Political science; Computer science; Politics; Mathematics","score_opus":0.1327266422179293,"score_gpt":0.33165112984280515,"score_spread":0.19892448762487586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789906573","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":[0.9928859,0.00017404846,0.006160706,0.00024645167,0.0000581537,0.00010613194,0.000010515749,0.000021255968,0.00033687032],"genre_scores_gemma":[0.99942523,0.0001654566,0.00016308708,0.00009468209,0.000073599986,0.0000041701483,0.00003283236,0.000008656642,0.000032261778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998798,0.00007603846,0.0004501075,0.00022610543,0.0002807768,0.00016896558],"domain_scores_gemma":[0.9982349,0.00014038902,0.0005284408,0.00023168587,0.000836877,0.000027689117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013196769,0.00012820665,0.00030025688,0.0022706438,0.00048564892,0.00021269608,0.00009556742,0.000068762405,0.000087142755],"category_scores_gemma":[0.00024678273,0.00012316789,0.000087007975,0.004939242,0.0002585367,0.0011713562,0.00006990465,0.000083293315,0.000003275566],"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":[0.00038556568,0.00058078347,0.9126553,0.00017997732,0.0032220492,0.0000017778491,0.0009206716,0.01766129,0.02572167,0.023991905,0.00010538906,0.014573643],"study_design_scores_gemma":[0.00020757472,0.00000460213,0.934705,0.00005328273,0.0075543034,0.0000014072489,0.0020196233,0.054932587,0.000015140671,0.000035109555,0.000328315,0.00014305585],"about_ca_topic_score_codex":0.0005162984,"about_ca_topic_score_gemma":0.00022078404,"teacher_disagreement_score":0.0372713,"about_ca_system_score_codex":0.000042724023,"about_ca_system_score_gemma":0.000022539343,"threshold_uncertainty_score":0.5022641},"labels":[],"label_agreement":null},{"id":"W2793467588","doi":"10.1007/s40547-018-0087-1","title":"Introduction to the Special Issue: 2016 Choice Symposium","year":2018,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental ethics; Philosophy","score_opus":0.010839525340712558,"score_gpt":0.20870423628230014,"score_spread":0.19786471094158758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793467588","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2755086,0.0002515751,0.0000064383075,0.6963414,0.0032019278,0.00036087984,0.00006650572,0.000121020355,0.024141654],"genre_scores_gemma":[0.8534296,0.00008993312,0.000014947648,0.0011664054,0.12470257,0.000012592346,0.00002020727,9.4337486e-7,0.020562785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993808,0.0000271437,0.000092789676,0.00017044423,0.00009760204,0.00023118709],"domain_scores_gemma":[0.9997275,0.000029142895,0.000023463514,0.000053890933,0.00007024086,0.0000957748],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009983304,0.000088974804,0.00007546572,0.0000113750175,0.0008092981,0.00007634518,0.00013339783,0.000059299702,0.0016708827],"category_scores_gemma":[0.000022622433,0.000024871968,0.00003538013,0.00055984285,0.000096425625,0.000087485954,0.0000788791,0.00008631483,0.0012425719],"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":[0.000003520455,0.00002245878,0.000049199152,6.439629e-7,0.000005876116,8.349748e-8,0.00027555422,4.6752922e-7,0.065526985,0.0008525456,0.91780615,0.01545654],"study_design_scores_gemma":[0.000035611276,0.0001242995,0.018785944,0.000003708399,0.000012774367,0.000007312384,0.0005525503,0.0000036798144,0.0005043406,0.000026059408,0.979852,0.00009166917],"about_ca_topic_score_codex":0.00011521652,"about_ca_topic_score_gemma":0.00065324304,"teacher_disagreement_score":0.695175,"about_ca_system_score_codex":0.000013413181,"about_ca_system_score_gemma":0.0000048192064,"threshold_uncertainty_score":0.9995351},"labels":[],"label_agreement":null},{"id":"W2952814750","doi":"10.1007/s40547-019-00095-0","title":"Advertising Originality Decisions in Competition","year":2019,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Wilfrid Laurier University","funders":"","keywords":"Originality; Copycat; Valuation (finance); Profit (economics); Advertising; Competition (biology); Economics; Business; Microeconomics; Computer science; Political science; Law; Creativity","score_opus":0.027460299475843268,"score_gpt":0.25650533646247076,"score_spread":0.22904503698662748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952814750","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":[0.9531683,0.00018899929,0.00031170854,0.0004991328,0.00034701513,0.00015392699,0.0000021539963,0.0000578938,0.04527088],"genre_scores_gemma":[0.99894994,0.00005017419,0.00005614897,0.000455754,0.00009470797,0.000008082563,0.000015045408,0.000009385975,0.00036076293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993008,0.0000106873995,0.00018030898,0.00015613176,0.000114346905,0.00023772329],"domain_scores_gemma":[0.9996673,0.000066039094,0.000047097303,0.00015305144,0.00005222406,0.000014290752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028368493,0.00009863974,0.00013783257,0.00042907952,0.00020342326,0.0001258281,0.00007537057,0.000039782826,0.0004117989],"category_scores_gemma":[0.00003113174,0.00009690715,0.000042088133,0.00069048256,0.000042238124,0.00061327935,0.0001067664,0.00013287741,0.0004209227],"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":[0.000022618608,0.000093883114,0.85927784,0.000040183248,0.000008397109,0.0000048414286,0.00014067497,0.000047035915,0.0012085681,0.10368515,0.0006629365,0.03480789],"study_design_scores_gemma":[0.00060252496,0.0000035044375,0.75469106,0.000115288574,0.000046219684,0.0000048397005,0.00051351014,0.002575253,0.0000031586121,0.001544301,0.23966664,0.00023367467],"about_ca_topic_score_codex":0.00089258596,"about_ca_topic_score_gemma":0.00031013644,"teacher_disagreement_score":0.2390037,"about_ca_system_score_codex":0.000024281915,"about_ca_system_score_gemma":0.000014700145,"threshold_uncertainty_score":0.54102504},"labels":[],"label_agreement":null},{"id":"W2963388636","doi":"10.1007/s40547-019-00097-y","title":"Stereotyping and Marketing: Out-Group Homogeneity Bias and Entry to Competitive Markets","year":2019,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Homogeneity (statistics); Marketing; Business; Psychology; Mathematics; Statistics","score_opus":0.038911095363549975,"score_gpt":0.22624403311714586,"score_spread":0.18733293775359589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963388636","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":[0.89868677,0.003546381,0.0011824571,0.0010092717,0.0002754182,0.00019908437,0.00012590017,0.00003249573,0.09494225],"genre_scores_gemma":[0.9940821,0.0013087584,0.00027000514,0.000491982,0.000048045003,0.000014724847,0.000014031578,0.000012950547,0.0037574037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990034,0.000047777372,0.00030902008,0.00033966042,0.000034805147,0.0002653442],"domain_scores_gemma":[0.99938726,0.00010119347,0.000095742216,0.00019269319,0.000028241582,0.00019487385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063608127,0.00014223439,0.00032377563,0.00039968087,0.00023936147,0.00011137025,0.0000679159,0.00006496743,0.00074708177],"category_scores_gemma":[0.000051392344,0.0001608009,0.00006338104,0.0002751233,0.00007326483,0.00012848337,0.00015167675,0.00010817357,0.00031550796],"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":[0.00005756067,0.00009565398,0.56175953,0.00009528478,0.0001921153,0.0000020405785,0.0014311384,0.0000068239115,0.00013717808,0.43047234,0.001939225,0.003811094],"study_design_scores_gemma":[0.00080431154,0.000055053148,0.7451796,0.00007360782,0.000046454526,0.000013950571,0.0024203416,0.0022929735,0.000009506862,0.0015111254,0.24706921,0.0005238777],"about_ca_topic_score_codex":0.00004721407,"about_ca_topic_score_gemma":0.000052762265,"teacher_disagreement_score":0.42896122,"about_ca_system_score_codex":0.000025839005,"about_ca_system_score_gemma":0.0000067147357,"threshold_uncertainty_score":0.8180021},"labels":[],"label_agreement":null},{"id":"W2990857257","doi":"10.1007/s40547-019-00102-4","title":"On Marketing Strategy in Electoral Politics","year":2019,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Social Media and Politics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Marketing; Public relations; Political science; Marketing strategy; Sociology; Business; Law","score_opus":0.033331982589884235,"score_gpt":0.31586809128564,"score_spread":0.28253610869575574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990857257","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":[0.870072,0.000109519664,0.000001896502,0.00077208685,0.000332343,0.000104421604,0.0000057276693,0.000025700972,0.12857632],"genre_scores_gemma":[0.99545676,0.00005247946,0.000009696072,0.00023187189,0.00023304764,0.0000057195703,0.000002254061,0.000006038495,0.004002152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909246,0.0001506214,0.00010032603,0.00008495657,0.00013879513,0.00043281956],"domain_scores_gemma":[0.9994256,0.00033584074,0.000021403943,0.000065298234,0.000030501902,0.0001213381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027088646,0.000060323484,0.00009537019,0.00013133319,0.00030166522,0.000040448587,0.000062831234,0.00009350888,0.00018659976],"category_scores_gemma":[0.0001770967,0.00006284654,0.000027318432,0.00032398477,0.00015066042,0.000066847664,0.000014349441,0.00014661407,0.00012682723],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000046936207,0.00003995148,0.063209735,0.000008448217,0.000005581843,0.000001349058,0.008221885,0.000012758152,0.0000655023,0.9250358,0.0020102353,0.0013840736],"study_design_scores_gemma":[0.0018611497,0.00021638055,0.29138038,0.00020115169,0.000059937804,0.000003460378,0.22832152,0.00065497553,0.000041727137,0.052010648,0.4241753,0.0010733664],"about_ca_topic_score_codex":0.0036145714,"about_ca_topic_score_gemma":0.00075401395,"teacher_disagreement_score":0.8730251,"about_ca_system_score_codex":0.000088919216,"about_ca_system_score_gemma":0.00016248389,"threshold_uncertainty_score":0.5464175},"labels":[],"label_agreement":null},{"id":"W4308526580","doi":"10.1007/s40547-022-00131-6","title":"Business Expansion Through Acquisition","year":2022,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Competitor analysis; Profitability index; Quality (philosophy); Fixed cost; Competition (biology); Quality costs; Variable cost; Industrial organization; Business; Microeconomics; Marginal cost; Economics; Marketing; Finance","score_opus":0.03895572261848427,"score_gpt":0.22329026362231133,"score_spread":0.18433454100382707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308526580","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":[0.5191737,0.01735555,0.08832718,0.013448619,0.002550466,0.0004230777,0.00084634835,0.00030876262,0.3575663],"genre_scores_gemma":[0.9958404,0.0004041122,0.00014971672,0.00073787564,0.00006524178,0.00006082155,0.00007547769,0.000009917763,0.0026564517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932414,0.000018878201,0.00024992196,0.00018736726,0.00004066027,0.0001790372],"domain_scores_gemma":[0.99965024,0.000011541224,0.0000869523,0.00017699193,0.000028426797,0.000045864148],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018981964,0.00007885637,0.00017327868,0.0002690381,0.0008028118,0.000036564194,0.000084589454,0.000026161675,0.0052723465],"category_scores_gemma":[0.0000074568597,0.000096478216,0.00007341999,0.0009141547,0.00004303309,0.00016586506,0.000112104215,0.00009787476,0.00031185354],"study_design_candidate":"theoretical_or_conceptual","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":[0.000006081129,0.00011397513,0.003416557,0.0000089284695,0.000037314396,0.0000016554063,0.00091948523,0.0006325711,0.00009203234,0.9832255,0.0111105535,0.00043534962],"study_design_scores_gemma":[0.00056986674,0.00003867795,0.032437243,0.000005438651,0.000032239135,0.000023647575,0.0022989444,0.0038943312,0.000009871506,0.049035728,0.91127175,0.00038226027],"about_ca_topic_score_codex":0.00019568091,"about_ca_topic_score_gemma":0.0000044634867,"teacher_disagreement_score":0.9341898,"about_ca_system_score_codex":0.000050750194,"about_ca_system_score_gemma":0.000011299426,"threshold_uncertainty_score":0.99563694},"labels":[],"label_agreement":null},{"id":"W4381512034","doi":"10.1007/s40547-023-00137-8","title":"Frontline Employees’ Empathy in Service Recovery: a Systematic Literature Review and Agenda for the Future","year":2023,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Emotions and Moral Behavior","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Federation for the Humanities and Social Sciences","keywords":"Empathy; Systematic review; Public relations; Service (business); Psychology; Business; Political science; Social psychology; MEDLINE; Marketing; Law","score_opus":0.04912918161412426,"score_gpt":0.3321550121670231,"score_spread":0.2830258305528988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381512034","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09836941,0.8581211,0.00028383874,0.034740463,0.0022247147,0.00437248,0.00077335123,0.00022060615,0.0008940147],"genre_scores_gemma":[0.6136164,0.31227008,0.0006553053,0.01705455,0.0013072501,0.0072448226,0.000765123,0.0001855473,0.046900924],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991571,0.00009327184,0.000249725,0.00018300788,0.00005707336,0.00025982567],"domain_scores_gemma":[0.9993834,0.0001255906,0.000056014997,0.00029942556,0.00007977544,0.000055832534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041050502,0.00013133237,0.00029048263,0.00019070155,0.00027541045,0.000048860646,0.00009963908,0.00010908187,0.000049631002],"category_scores_gemma":[0.00002349438,0.00008598134,0.000065663175,0.0011365145,0.00003308784,0.00007988695,0.000051475257,0.00017176261,0.000062560845],"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":[0.00007547894,0.0005323554,0.002788274,0.07961293,0.0004884706,0.000077055796,0.04837266,0.00001728894,0.00009887429,0.06093911,0.7933865,0.013610964],"study_design_scores_gemma":[0.006348926,0.000832376,0.24100518,0.06774021,0.006008937,0.00074534933,0.085951746,0.0010273512,0.0000019012024,0.001769501,0.58647394,0.0020945584],"about_ca_topic_score_codex":0.00004131687,"about_ca_topic_score_gemma":0.00029173953,"teacher_disagreement_score":0.54585105,"about_ca_system_score_codex":0.000015569436,"about_ca_system_score_gemma":0.000013970497,"threshold_uncertainty_score":0.35062173},"labels":[],"label_agreement":null},{"id":"W4409318787","doi":"10.1007/s40547-025-00154-9","title":"Can You See Me Now? Toward a Theory of Sensory Flamboyance and Subtlety in Consumption","year":2025,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ernst & Young Foundation","keywords":"Sensory system; Consumption (sociology); Psychology; Aesthetics; Cognitive psychology; Philosophy","score_opus":0.044491608332467125,"score_gpt":0.26278111267860094,"score_spread":0.2182895043461338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409318787","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":[0.9950475,0.0011903142,0.00020864897,0.0012494744,0.00025677093,0.00020570715,0.000012469543,0.00004363242,0.001785446],"genre_scores_gemma":[0.99740356,0.00066771614,0.000022516484,0.00021692205,0.0000329321,0.000031732,0.00001717391,0.0000068103745,0.001600658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927217,0.000023233732,0.00026133866,0.0001869906,0.00008770445,0.00016855326],"domain_scores_gemma":[0.999603,0.000039609215,0.00008905964,0.00015745564,0.00009955209,0.0000113695505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032400587,0.000111567795,0.0001665604,0.0005639421,0.00017417084,0.00008579276,0.000069890375,0.00007128519,0.00007936611],"category_scores_gemma":[0.000024914405,0.00011452684,0.000038723796,0.00042736073,0.00022315132,0.00026670954,0.00008500654,0.00011085037,0.000037718342],"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":[0.00009448409,0.00018715496,0.5380761,0.00051644276,0.000055191205,0.0000022682311,0.0006325432,0.000010544106,0.010976727,0.3455838,0.0017854996,0.102079235],"study_design_scores_gemma":[0.0008571031,0.0000016595133,0.97756296,0.00010667836,0.00014999595,0.0000018616361,0.001340991,0.000846537,0.000066014414,0.0036010307,0.015274709,0.00019047425],"about_ca_topic_score_codex":0.00019178023,"about_ca_topic_score_gemma":0.00037695206,"teacher_disagreement_score":0.43948683,"about_ca_system_score_codex":0.000021886408,"about_ca_system_score_gemma":0.00002357329,"threshold_uncertainty_score":0.4670269},"labels":[],"label_agreement":null}]}