{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"4ee7907462f3","filters":{"venue":"NIM Marketing Intelligence Review"}},"results":[{"id":"W2048340479","doi":"10.2478/gfkmir-2014-0091","title":"Social Brand Engagement: A New Idea","year":2014,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Brand engagement; Brand management; Advertising; Brand awareness; Meaning (existential); Social engagement; Brand extension; Business; Psychology; Social media; Sociology; Political science","authors":[{"name":"Robert V. Kozinets","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06154920048384954,"gpt":0.3722052506252718,"spread":0.3106560501414223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006849393,0.0009439079,0.001232966,0.005453323,0.002625806,0.01663495,0.002225922,0.007699538,0.009731729],"category_scores_gemma":[0.007429069,0.0004770115,0.001035644,0.003674863,0.03990444,0.02756852,0.005687722,0.01187066,0.001743575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005175802,"about_ca_system_score_gemma":0.003482705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482567,"about_ca_topic_score_gemma":0.001316545,"domain_scores_codex":[0.9955238,0.002266711,0.0001636725,0.0006544528,0.0011503,0.0002410124],"domain_scores_gemma":[0.9864084,0.009937471,0.0005728682,0.001052786,0.001302861,0.000725553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001281632,0.00002984871,0.0002267009,0.0001486005,0.000009340239,0.00007526363,0.002192229,0.00009012878,0.00007144033,0.9673236,0.004454891,0.02536516],"study_design_scores_gemma":[0.00001228299,0.00003730228,0.0003562457,0.0007916035,0.00001388585,0.0002455852,0.003013652,0.0006745411,0.0001080425,0.827223,0.1674964,0.0000275515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01463685,0.213423,0.0732071,0.3510633,0.01452673,0.0001462882,0.0001634675,0.0002768592,0.3325563],"genre_scores_gemma":[0.6644414,0.1626768,0.03311826,0.07328146,0.02130505,0.0005759599,0.0001591087,0.0003073183,0.04413466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663495,"threshold_uncertainty_score":0.03755325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801108633","doi":"10.2478/gfkmir-2018-0003","title":"How Truthiness, Fake News and Post-Fact Endanger Brands and What to Do About It","year":2018,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fake news; Order (exchange); Advertising; Perception; Business; Control (management); Brand image; Stakeholder; Internet privacy; Computer science; Public relations; Psychology; Political science","authors":[{"name":"Pierre Berthon","is_ca":false},{"name":"Emily Treen","is_ca":true},{"name":"Leyland Pitt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03560436603810971,"gpt":0.3502133365697446,"spread":0.3146089705316348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007038096,0.0003376131,0.0005645512,0.002834871,0.001622669,0.007346887,0.000712982,0.003436508,0.006302273],"category_scores_gemma":[0.02606993,0.0002828581,0.0004889262,0.002112524,0.005862589,0.008185985,0.001456451,0.002067042,0.0007871295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554535,"about_ca_system_score_gemma":0.002804688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005894306,"about_ca_topic_score_gemma":0.005272709,"domain_scores_codex":[0.9947734,0.002828506,0.0002307554,0.0002769787,0.001410637,0.000479738],"domain_scores_gemma":[0.9636787,0.02445834,0.005416338,0.001270074,0.004604792,0.0005717837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002771339,0.0002057066,0.01756102,0.004528881,0.0003376912,0.00101531,0.01328272,0.0008249407,0.0009405665,0.3165244,0.04415393,0.6003476],"study_design_scores_gemma":[0.00004767576,0.0003111248,0.0532386,0.01636323,0.0004809303,0.00346703,0.02947816,0.001619163,0.003408386,0.2899599,0.601454,0.0001717548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08549922,0.5966656,0.005488166,0.1489049,0.002652606,0.0001059908,0.0002171321,0.00006357119,0.1604027],"genre_scores_gemma":[0.6427811,0.331199,0.002419838,0.01054133,0.001846964,0.00004989278,0.000115985,0.00002363322,0.01102219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007346887,"threshold_uncertainty_score":0.03722149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2988821602","doi":"10.2478/nimmir-2019-0012","title":"Let the Machine Decide: When Consumers Trust or Distrust Algorithms","year":2019,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Distrust; Computer science; Feeling; Task (project management); Field (mathematics); Algorithm; Machine learning; Cognition; Ambivalence; Artificial intelligence; Human intelligence; Psychology; Social psychology; Management","authors":[{"name":"Noah Castelo","is_ca":true},{"name":"Maarten W. Bos","is_ca":false},{"name":"Donald R. Lehmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06717547046298424,"gpt":0.3935460101514361,"spread":0.3263705396884519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008382565,0.0002079455,0.0003757266,0.000720597,0.001012652,0.004487345,0.0006387228,0.003252171,0.004157691],"category_scores_gemma":[0.03914856,0.0002471372,0.0003228622,0.000651461,0.003617659,0.004399123,0.00118348,0.003328704,0.0006970505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421098,"about_ca_system_score_gemma":0.0012117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004173703,"about_ca_topic_score_gemma":0.004752208,"domain_scores_codex":[0.992507,0.005272401,0.0001829853,0.0002830006,0.001370491,0.0003840759],"domain_scores_gemma":[0.9693154,0.02253718,0.002605905,0.0009106989,0.004127071,0.0005038558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0016666,0.0003132358,0.03734363,0.002852621,0.000495962,0.001533138,0.02843422,0.0008895184,0.003307908,0.2620831,0.1070844,0.5539956],"study_design_scores_gemma":[0.0002888074,0.0006681589,0.06014737,0.00723399,0.0005388043,0.001871849,0.04163157,0.005543278,0.004370965,0.2374281,0.6400862,0.0001908731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3463998,0.1520439,0.01624539,0.3120236,0.001630923,0.0001715522,0.0001983916,0.000158562,0.1711278],"genre_scores_gemma":[0.9284794,0.02731483,0.001657762,0.03605281,0.0006999662,0.0000570408,0.00008191112,0.00005045878,0.005605746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008382565,"threshold_uncertainty_score":0.04433173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061471319","doi":"10.2478/gfkmir-2014-0092","title":"The Megaphone Effect in Social Media: How Ordinary Consumers Become Style Leaders","year":2014,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Taste; Advertising; Social media; Style (visual arts); The Internet; Power (physics); Business; Marketing; Public relations; Psychology; Political science","authors":[{"name":"Edward F. McQuarrie","is_ca":true},{"name":"Barbara J. Phillips","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0609010283940252,"gpt":0.3326430604017031,"spread":0.2717420320076778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219754,0.0001075708,0.0001455262,0.0006271788,0.0008339761,0.002150596,0.0003044214,0.0006689579,0.009604057],"category_scores_gemma":[0.003400272,0.0001230252,0.0001538984,0.0004712186,0.001499,0.001810409,0.001145696,0.0006030389,0.0008246849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004845425,"about_ca_system_score_gemma":0.0002976833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223664,"about_ca_topic_score_gemma":0.002532494,"domain_scores_codex":[0.99937,0.0003590696,0.000009747602,0.00005301997,0.0001326825,0.00007538339],"domain_scores_gemma":[0.9975013,0.001394763,0.0003573429,0.0001269392,0.0002396375,0.0003800984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009744463,0.001391175,0.2513422,0.0007760792,0.0001035887,0.002601101,0.2403402,0.0001388974,0.01016136,0.04908207,0.02646729,0.4166215],"study_design_scores_gemma":[0.0001359699,0.0008828054,0.6445714,0.0003699353,0.0001093382,0.001187122,0.2164111,0.0005549855,0.002907748,0.02073148,0.1120722,0.00006590285],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223326,0.001500265,0.0002899497,0.003886401,0.00009939825,0.00002636355,0.00004524922,0.00001942023,0.07180031],"genre_scores_gemma":[0.9938623,0.0009354647,0.0001297705,0.0007026616,0.00006295576,0.00001219666,0.00001534498,0.000006967234,0.004272475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009604057,"threshold_uncertainty_score":0.03212881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2985327985","doi":"10.2478/nimmir-2019-0015","title":"The Thorny Challenge of Making Moral Machines: Ethical Dilemmas with Self-Driving Cars","year":2019,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Outrage; Harm; Enforcement; Control (management); Moral dilemma; Business; Law and economics; Computer science; Political science; Psychology; Sociology; Social psychology; Law; Artificial intelligence; Politics","authors":[{"name":"Edmond Awad","is_ca":false},{"name":"Jean‐François Bonnefon","is_ca":false},{"name":"Azim Shariff","is_ca":true},{"name":"Iyad Rahwan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04718483052040479,"gpt":0.3838646533929182,"spread":0.3366798228725134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0250317,0.0004232633,0.0006655929,0.001556132,0.003554238,0.007351137,0.001521585,0.006950845,0.003020158],"category_scores_gemma":[0.02497645,0.0002607815,0.0004512919,0.0009643013,0.02671733,0.008373094,0.00324249,0.008685272,0.0005004017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004294463,"about_ca_system_score_gemma":0.006246214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403869,"about_ca_topic_score_gemma":0.005584971,"domain_scores_codex":[0.9729216,0.02239637,0.0003761222,0.0005352439,0.003135345,0.0006352751],"domain_scores_gemma":[0.9595069,0.03280009,0.002032186,0.0008791709,0.003783525,0.0009980921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000313969,0.00006380008,0.000492086,0.00084979,0.00004533069,0.0003424688,0.009860675,0.001046016,0.0001798693,0.8777978,0.02945003,0.07984065],"study_design_scores_gemma":[0.0000266222,0.00008322735,0.001263703,0.002963482,0.00002220864,0.0006914595,0.0194288,0.001489785,0.0003550978,0.6289837,0.3446424,0.000049481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03569544,0.2025862,0.01943918,0.6097034,0.00385935,0.00008140654,0.00003289009,0.00002972783,0.1285724],"genre_scores_gemma":[0.7809016,0.1167499,0.009227658,0.07634782,0.004406621,0.0001855075,0.00002935908,0.00005905036,0.01209249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0250317,"threshold_uncertainty_score":0.1323819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899150038","doi":"10.2478/gfkmir-2018-0014","title":"IoT Stories: The Good, the Bad and the Freaky","year":2018,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Storytelling; Loyalty; Narrative; Internet of Things; Product (mathematics); Key (lock); Perception; Advertising; Marketing; Business; Internet privacy; Psychology; Computer science; Art; Computer security","authors":[{"name":"Markus Giesler","is_ca":true},{"name":"Eileen Fischer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03410977988307164,"gpt":0.2890084646639551,"spread":0.2548986847808835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853355,0.0003955511,0.0002719393,0.001433488,0.001210122,0.004602412,0.0004269889,0.00125811,0.004335934],"category_scores_gemma":[0.006751759,0.0001669271,0.0001904349,0.001464928,0.003562337,0.006233769,0.001685168,0.001786305,0.0005444976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352516,"about_ca_system_score_gemma":0.0009620324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937141,"about_ca_topic_score_gemma":0.002218954,"domain_scores_codex":[0.9980522,0.001130738,0.00009506656,0.00006958595,0.0005437699,0.0001086127],"domain_scores_gemma":[0.9938746,0.004152429,0.0009372382,0.0001418436,0.000605474,0.0002883456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002215515,0.0001328586,0.0080752,0.004381094,0.00009510084,0.002335693,0.1599506,0.0002731273,0.001842017,0.2185721,0.1325231,0.4715976],"study_design_scores_gemma":[0.00001178239,0.00005774241,0.007488614,0.005332966,0.0000467938,0.002544633,0.1066518,0.0002146865,0.0008073566,0.02482282,0.8519904,0.00003046493],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1431065,0.5448852,0.003595758,0.097794,0.003090718,0.00007948615,0.0001841514,0.00005969981,0.2072045],"genre_scores_gemma":[0.6579444,0.3101285,0.001545525,0.009422807,0.001569679,0.00005751644,0.0001536684,0.00003894234,0.01913894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004602412,"threshold_uncertainty_score":0.01450515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037692183","doi":"10.2478/gfkmir-2014-0094","title":"Lost in Translation: The Social Shaping of Marketing Messaging","year":2014,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Digital Communication and Language","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Global Affairs Canada; York University","funders":"","keywords":"Product (mathematics); Advertising; Word of mouth; Marketing; Social media; Context (archaeology); Business; Precondition; Computer science; World Wide Web","authors":[{"name":"Robert V. Kozinets","is_ca":true},{"name":"Kristine De Valck","is_ca":false},{"name":"Andrea C. Wojnicki","is_ca":true},{"name":"Sarah J. S. Wilner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06547466201074871,"gpt":0.3328782492796308,"spread":0.2674035872688821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009734031,0.0005446302,0.0005666604,0.002762936,0.004694135,0.0181352,0.001473735,0.0027616,0.01389009],"category_scores_gemma":[0.03801957,0.0004774809,0.0004057704,0.002647463,0.01926381,0.01253948,0.006044926,0.004742961,0.002628692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004031547,"about_ca_system_score_gemma":0.003105121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225133,"about_ca_topic_score_gemma":0.001458367,"domain_scores_codex":[0.9870664,0.009397164,0.0003666536,0.0006830274,0.00198902,0.0004976379],"domain_scores_gemma":[0.9629513,0.02825004,0.002716926,0.002185093,0.00306853,0.0008281306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001965515,0.0001108015,0.003314926,0.001209576,0.00004064144,0.001951287,0.4487213,0.0004292915,0.00293493,0.3490774,0.02006177,0.1719516],"study_design_scores_gemma":[0.000083837,0.0002065657,0.01029715,0.003749666,0.0000743265,0.002272651,0.2011646,0.002473001,0.002710687,0.2501442,0.5266941,0.0001291985],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2107387,0.03275193,0.02849598,0.1358627,0.003488382,0.0002690113,0.0002662068,0.0004734529,0.5876536],"genre_scores_gemma":[0.9585019,0.008772527,0.003741631,0.005595014,0.001498513,0.0001216232,0.0001071764,0.0003969866,0.0212647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0181352,"threshold_uncertainty_score":0.0514791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307637833","doi":"10.2478/nimmir-2022-0013","title":"Consumer Experiences with Marketing Technology: Solving the Tensions Between Benefits and Costs","year":2022,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Variety (cybernetics); Publishing; Publication; Marketing; Public relations; Business; Library science; Sociology; Advertising; Political science; Computer science; Law","authors":[{"name":"Stefano Puntoni","is_ca":false},{"name":"Rebecca Walker Reczek","is_ca":false},{"name":"Markus Giesler","is_ca":true},{"name":"Simona Botti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03877848251334326,"gpt":0.313048493634015,"spread":0.2742700111206717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005741091,0.0002618034,0.0004728695,0.0009344727,0.00115477,0.006623125,0.0005016513,0.002607067,0.005282619],"category_scores_gemma":[0.009830171,0.0002035581,0.000283136,0.001325145,0.00262749,0.006899897,0.002149028,0.003204918,0.0005467101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629683,"about_ca_system_score_gemma":0.0009527204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352101,"about_ca_topic_score_gemma":0.001974934,"domain_scores_codex":[0.9954034,0.003113094,0.0001052032,0.0001324012,0.001061705,0.0001841319],"domain_scores_gemma":[0.9920571,0.006220683,0.000451783,0.0001483987,0.0007656991,0.0003562742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003415791,0.0003610751,0.008997352,0.005415807,0.0002667942,0.0017393,0.1882335,0.0002757826,0.002019773,0.09198767,0.08549919,0.6148622],"study_design_scores_gemma":[0.00004417238,0.0002677894,0.01067854,0.006168067,0.0001001204,0.001730196,0.1332247,0.0002950395,0.0007110788,0.01959273,0.8271145,0.00007305484],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2826265,0.3224501,0.00599983,0.1877106,0.001686083,0.0001287199,0.0001298268,0.00009057748,0.1991777],"genre_scores_gemma":[0.760325,0.1941778,0.002783934,0.02756549,0.001439755,0.000122856,0.0001043423,0.00007099602,0.01340991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006623125,"threshold_uncertainty_score":0.03036213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366547788","doi":"10.2478/nimmir-2023-0009","title":"Dashboards: From Performance Art to Decision Support","year":2023,"lang":"en","type":"article","venue":"NIM Marketing Intelligence Review","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Popularity; Skepticism; Context (archaeology); Strategist; Business intelligence; Quarter (Canadian coin); Knowledge management; Data science; Computer science; Business; Marketing; Psychology","authors":[{"name":"David J. Reibstein","is_ca":false},{"name":"Neil Hoyne","is_ca":false},{"name":"Koen Pauwels","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02650270184860598,"gpt":0.2864838669946751,"spread":0.2599811651460691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03044794,0.0004933178,0.0004564884,0.002064367,0.003643114,0.007361389,0.001102899,0.003035792,0.003838727],"category_scores_gemma":[0.03817474,0.0005028126,0.0002619744,0.003109772,0.005979754,0.01012249,0.002526304,0.01009534,0.0008716563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005088556,"about_ca_system_score_gemma":0.005765971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216683,"about_ca_topic_score_gemma":0.01898761,"domain_scores_codex":[0.9742566,0.01941456,0.001043482,0.0005963453,0.003893617,0.0007953413],"domain_scores_gemma":[0.9327722,0.0520194,0.002161617,0.0007031515,0.009939539,0.002404051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005099125,0.0001188634,0.001237122,0.001060246,0.0000264692,0.0003000995,0.05398974,0.0002840678,0.0004285616,0.03223971,0.7338989,0.1763653],"study_design_scores_gemma":[0.00001274889,0.00007967021,0.001238691,0.001676675,0.000007858316,0.0001126747,0.04271831,0.0001744805,0.0002858318,0.003600568,0.9500567,0.00003581455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01547596,0.05992086,0.004367003,0.8786112,0.004389864,0.0001299115,0.0001634783,0.0001142449,0.03682751],"genre_scores_gemma":[0.4679522,0.1867992,0.01306773,0.2724231,0.006586561,0.0007044124,0.0003503311,0.0003692883,0.05174705],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03044794,"threshold_uncertainty_score":0.1610259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}