{"id":"W2009919835","doi":"10.1509/jmkr.2005.42.3.333","title":"Distinguishing between the Meanings of Music: When Background Music Affects Product Perceptions","year":2005,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Embodied cognition; Meaning (existential); Perception; Context (archaeology); Psychology; Music and emotion; Musical; Music psychology; Cognitive psychology; Aesthetics; Computer science; Musicology; Music history; Art; Visual arts; Artificial intelligence","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":[0.001688161,0.0002551085,0.0002450281,0.0006660463,0.0003647837,0.002872192,0.0002009911,0.0007822553,0.002714547],"category_scores_gemma":[0.01296886,0.0002561896,0.0002447305,0.0003031034,0.001407132,0.002025252,0.001110669,0.0008164626,0.0002308998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398189,"about_ca_system_score_gemma":0.0002124777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008888553,"about_ca_topic_score_gemma":0.001291025,"domain_scores_codex":[0.9989954,0.0004195731,0.00006591177,0.0001563053,0.0002701725,0.00009273109],"domain_scores_gemma":[0.992537,0.005252264,0.00114234,0.0003088361,0.0003272597,0.0004322656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007888294,0.001716651,0.6287119,0.0008785881,0.000400849,0.0009115207,0.06625926,0.0004844772,0.1673017,0.00648741,0.0005508169,0.1184086],"study_design_scores_gemma":[0.00008913359,0.0005855749,0.97765,0.00006898018,0.0001349867,0.0002677942,0.01176676,0.0006567998,0.004812019,0.003083281,0.0008506247,0.0000339404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936237,0.0001995111,0.0004897267,0.00009777124,0.000008005898,0.00001655637,0.00001601275,0.000003699001,0.005544852],"genre_scores_gemma":[0.9989908,0.0001089192,0.0005282458,0.00005033637,0.00001001125,0.000007634654,0.00002109343,0.000006392695,0.0002765128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002872192,"threshold_uncertainty_score":0.009081066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.230446562209259,"score_gpt":0.3836256436059531,"score_spread":0.153179081396694,"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."}}