{"meta":{"query_hash":"762c35e282cc","filters":{"venue":"Journal of Marketing Behavior"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/762c35e282cc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Marketing+Behavior"},"results":[{"id":"W2270115566","doi":"10.1561/107.00000009","title":"Meta-Rationality in Cognitive Science","year":2015,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":9,"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 Toronto","funders":"","keywords":"Rationality; Ecological rationality; Great Rationality Debate; Epistemology; Cognition; Principle of rationality; Psychology; Sociology; Positive economics; Philosophy; Economics","score_opus":0.4114615557399521,"score_gpt":0.38542586922342364,"score_spread":0.026035686516528433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270115566","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030203806,0.1557332,0.29008433,0.172309,0.003288659,0.00015494821,0.0003017695,0.00041517615,0.3475091],"genre_scores_gemma":[0.88812757,0.0241107,0.063171245,0.01031946,0.004994395,0.00041585244,0.00013286219,0.00014633864,0.008581621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9848564,0.009040002,0.00062281016,0.0016996452,0.0031164263,0.00066476525],"domain_scores_gemma":[0.9819119,0.0134983,0.0007998218,0.0021598968,0.0011665868,0.00046350234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019866202,0.0010576411,0.0015527708,0.0044396794,0.003012975,0.0098453,0.0022855503,0.0055129305,0.0031202368],"category_scores_gemma":[0.01748245,0.0006371141,0.0015203411,0.0030973607,0.03619809,0.015487055,0.004381446,0.009187827,0.00066370773],"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":[0.0000055455907,0.0000063211896,0.000078382065,0.0000385662,0.000014408744,0.000016298543,0.0004173762,0.0004752431,0.000021620024,0.99602854,0.00062528986,0.0022724934],"study_design_scores_gemma":[0.000002834777,0.0000021502942,0.000030218594,0.000028321301,0.0000022317765,0.0000070791034,0.00004641007,0.0003645957,0.000016461716,0.99709547,0.0024016423,0.000002580919],"about_ca_topic_score_codex":0.002326568,"about_ca_topic_score_gemma":0.0013538433,"teacher_disagreement_score":0.019866202,"about_ca_system_score_codex":0.0074052396,"about_ca_system_score_gemma":0.0038462982,"threshold_uncertainty_score":0.10506374},"labels":[],"label_agreement":null},{"id":"W2890969249","doi":"10.1561/107.00000048","title":"Do Small Firms Pay to Stay? An Experimental Investigation","year":2018,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","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":"Wilfrid Laurier University","funders":"","keywords":"Competitor analysis; Market share; Price discrimination; Competition (biology); Dominance (genetics); Customer base; Microeconomics; Business; Loyalty business model; Pricing strategies; Loyalty; Economics; Marketing; Industrial organization; Service quality","score_opus":0.045813829446274996,"score_gpt":0.28921031077771125,"score_spread":0.24339648133143627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890969249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949309,0.000047920024,0.00027530873,0.00062314194,0.000036713536,0.00017801495,0.0000689766,0.000008354789,0.0038305342],"genre_scores_gemma":[0.99422836,0.00010357462,0.0008011015,0.0005674331,0.00006326151,0.00049420557,0.00008495783,0.000004731256,0.0036523116],"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99908566,0.0004105182,0.000062866755,0.00017099812,0.0001515237,0.00011842266],"domain_scores_gemma":[0.98182344,0.012401624,0.0022227976,0.001878233,0.00033522135,0.001338737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025891366,0.00027630117,0.0004580493,0.0003354494,0.001002005,0.0012996397,0.000696239,0.0016761626,0.014517817],"category_scores_gemma":[0.010830611,0.00020568198,0.00027190044,0.00027826166,0.0015228587,0.0011615222,0.0007405822,0.0015421816,0.0008314565],"study_design_candidate":"randomized_trial","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":[0.052637894,0.3379252,0.23159356,0.001352389,0.0006028451,0.004443264,0.02598648,0.0020461588,0.083329365,0.08752586,0.016364226,0.15619272],"study_design_scores_gemma":[0.025831547,0.16810444,0.5115569,0.00037363265,0.000744963,0.003472418,0.051443204,0.025161156,0.02510015,0.09639388,0.091390945,0.00042659507],"about_ca_topic_score_codex":0.0006681876,"about_ca_topic_score_gemma":0.0008743231,"teacher_disagreement_score":0.014517817,"about_ca_system_score_codex":0.0004031255,"about_ca_system_score_gemma":0.00049263245,"threshold_uncertainty_score":0.048566937},"labels":[],"label_agreement":null},{"id":"W2922588472","doi":"10.1561/107.00000061","title":"Self, Theory, and AI","year":2019,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Ethics and Social Impacts of AI","field":"Social 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":"York University","funders":"","keywords":"Psychology; Philosophy; Artificial intelligence; Computer science","score_opus":0.016653921162770795,"score_gpt":0.3605979840673491,"score_spread":0.3439440629045783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922588472","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2272614,0.024373885,0.023226887,0.08749862,0.0005339572,0.00009872836,0.00011158002,0.0000782475,0.63681674],"genre_scores_gemma":[0.9889593,0.0029018335,0.001972161,0.0012471678,0.00014891212,0.000035594756,0.000021911063,0.000012746308,0.0047004237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970994,0.002039633,0.00008235224,0.0001589364,0.00045412424,0.00016550382],"domain_scores_gemma":[0.9823433,0.013788214,0.0009828476,0.0009933461,0.0010212897,0.0008709143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00606629,0.00028300672,0.00036379794,0.0026947497,0.002106448,0.0055826115,0.00060035585,0.0019611258,0.0075043705],"category_scores_gemma":[0.008185327,0.00014602065,0.00023570888,0.0014618718,0.02214978,0.0036814408,0.0018022816,0.0019454603,0.00037117026],"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":[0.000021638796,0.00016821938,0.0034727727,0.000061047744,0.000015657975,0.000045223416,0.0015473822,0.0005730515,0.00009880897,0.9779716,0.0014304213,0.014594178],"study_design_scores_gemma":[0.000019463689,0.00004056237,0.002465493,0.00010178868,0.00000930458,0.000087047956,0.0025020095,0.0012104913,0.00012427327,0.97537464,0.018054666,0.000010198676],"about_ca_topic_score_codex":0.0022010482,"about_ca_topic_score_gemma":0.0021342277,"teacher_disagreement_score":0.0075043705,"about_ca_system_score_codex":0.0026587737,"about_ca_system_score_gemma":0.002495493,"threshold_uncertainty_score":0.03208202},"labels":[],"label_agreement":null},{"id":"W2922695254","doi":"10.1561/107.00000058","title":"Machines and Artificial Intelligence","year":2019,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Artificial intelligence; Computer science","score_opus":0.015134872155274069,"score_gpt":0.26711274710255184,"score_spread":0.25197787494727775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922695254","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006996654,0.24398947,0.036045652,0.091291785,0.0035053336,0.00012969771,0.00027861158,0.0003173338,0.6174456],"genre_scores_gemma":[0.6504782,0.17449605,0.039223872,0.02667344,0.012170618,0.0006997881,0.00054822804,0.00029765652,0.09541206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99507433,0.0026728513,0.00023945555,0.00067715975,0.0010416772,0.00029458452],"domain_scores_gemma":[0.99544287,0.0031103431,0.00025615172,0.0006258606,0.0003672642,0.00019745869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003657338,0.0010520031,0.0012121138,0.003074332,0.002515856,0.010039228,0.0011978836,0.0044028815,0.009020279],"category_scores_gemma":[0.005714961,0.00035462968,0.0006710636,0.002180575,0.030877007,0.009648385,0.0035060167,0.004967616,0.002331709],"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":[0.0000070405627,0.000007288939,0.0001739802,0.00014281539,0.000015026614,0.00003693067,0.00057173055,0.00035190492,0.000058453683,0.97938764,0.008607512,0.010639817],"study_design_scores_gemma":[0.000005803774,0.000011294643,0.00026667753,0.00019459444,0.00000458554,0.00008928448,0.0002638727,0.00036922554,0.00006075181,0.87683254,0.12189254,0.000008738534],"about_ca_topic_score_codex":0.0022759442,"about_ca_topic_score_gemma":0.0014249384,"teacher_disagreement_score":0.010039228,"about_ca_system_score_codex":0.0046915114,"about_ca_system_score_gemma":0.002802543,"threshold_uncertainty_score":0.034039438},"labels":[],"label_agreement":null},{"id":"W3113942528","doi":"10.1561/107.00000070","title":"How Consumption Vocabulary Directs Product Discussions: The Guiding Influence of Feature Labels on Consumers' Communication and Learning about Products in Online Communities","year":2020,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","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":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Feature (linguistics); Product (mathematics); Consumption (sociology); Vocabulary; Computer science; Product category; Business; Advertising; Psychology; Marketing; Cognitive psychology; Multimedia; Linguistics; Sociology; Mathematics","score_opus":0.055823378542330014,"score_gpt":0.2688783999766307,"score_spread":0.2130550214343007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113942528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653304,0.000031030475,0.00025543422,0.00006868759,0.0000034650209,0.000014661619,0.0000074821833,0.000008168222,0.0030779694],"genre_scores_gemma":[0.9990926,0.000030199351,0.00049259333,0.00003147458,0.0000037293016,0.000014371043,0.00001282123,0.000008115096,0.00031406895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968395,0.002240738,0.0001059983,0.0003223113,0.00031611254,0.00017533408],"domain_scores_gemma":[0.96169126,0.030371916,0.004166407,0.0012766646,0.0010285613,0.0014651115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035684127,0.00022435284,0.00022888523,0.00058671116,0.0010247803,0.0027202829,0.00040375913,0.00081232865,0.0022916747],"category_scores_gemma":[0.02988964,0.00036583896,0.00022924514,0.00028007396,0.0017316089,0.0018825817,0.0014279642,0.0009420118,0.00026946014],"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":[0.004394026,0.0050409064,0.46879026,0.00060730876,0.00018898155,0.00065034005,0.288417,0.0011968949,0.10408099,0.004730134,0.0009448204,0.12095826],"study_design_scores_gemma":[0.00036797958,0.003158414,0.90591294,0.00019105719,0.00030758747,0.00030292015,0.055974353,0.0057404656,0.014386869,0.0062704147,0.0072187134,0.00016819833],"about_ca_topic_score_codex":0.0039962674,"about_ca_topic_score_gemma":0.0047306903,"teacher_disagreement_score":0.0039962674,"about_ca_system_score_codex":0.0006668758,"about_ca_system_score_gemma":0.0006263338,"threshold_uncertainty_score":0.018871784},"labels":[],"label_agreement":null}]}