{"id":"W2118078061","doi":"10.1509/jmkr.47.2.301","title":"The Effects of Consumer Prior Knowledge and Processing Strategies on Judgments","year":2010,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Affect (linguistics); Construal level theory; Product (mathematics); Information processing; Psychology; Cognitive psychology; Processing fluency; Presentation (obstetrics); Fluency; Product category; Social psychology; Computer science; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004327356,0.0003995078,0.0002791281,0.0009306206,0.0003791226,0.00261887,0.0003101486,0.0008697444,0.003948309],"category_scores_gemma":[0.05460341,0.000398274,0.0004358177,0.0004182483,0.000824095,0.001864463,0.0006757891,0.0009293894,0.0003434681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005796164,"about_ca_system_score_gemma":0.0004188727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093285,"about_ca_topic_score_gemma":0.002716852,"domain_scores_codex":[0.9975607,0.001030843,0.00017779,0.0002814026,0.0007844132,0.0001648028],"domain_scores_gemma":[0.9035802,0.07983021,0.007216697,0.003352604,0.003698181,0.00232208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01000188,0.008266458,0.7608726,0.0005532855,0.0008024656,0.0007636913,0.01276354,0.003667288,0.03763898,0.003464998,0.000674149,0.1605307],"study_design_scores_gemma":[0.0001625679,0.001525896,0.9809213,0.00007744686,0.0002194517,0.0002617981,0.001994245,0.005048817,0.005437041,0.00368541,0.0005753807,0.00009071171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947113,0.0001306474,0.0004224445,0.00004892375,0.000003448345,0.00002599084,0.00001642195,0.00000722484,0.004633762],"genre_scores_gemma":[0.9988669,0.0000943815,0.0005384118,0.00002596266,0.000006540949,0.00001642358,0.00004244556,0.000006547739,0.0004022965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004327356,"threshold_uncertainty_score":0.0228855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602773981191067,"score_gpt":0.3501519813039218,"score_spread":0.3141242414920111,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}