{"id":"W196357788","doi":"10.25300/misq/2014/38.1.05","title":"Social Media, Traditional Media, and Music Sales1","year":2014,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Marketing buzz; Social media; Advertising; Context (archaeology); Business; Computer science; History","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":[0.000963087,0.000318102,0.0003145795,0.002060936,0.0005859391,0.00201279,0.0003877229,0.0004432259,0.01138977],"category_scores_gemma":[0.006933156,0.000167918,0.0003347918,0.003037762,0.0008207416,0.001535094,0.0009764145,0.0009623693,0.0007319225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006090614,"about_ca_system_score_gemma":0.0003773058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406141,"about_ca_topic_score_gemma":0.01187678,"domain_scores_codex":[0.9995011,0.0001767141,0.00003282334,0.00006012545,0.0001522929,0.00007701721],"domain_scores_gemma":[0.9797482,0.01180153,0.005939289,0.000353141,0.0006675826,0.001490312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001237163,0.0003818483,0.9814655,0.00007111911,0.0001512436,0.000161321,0.000627238,0.000475962,0.0002288114,0.002070267,0.0006447023,0.01359829],"study_design_scores_gemma":[0.00000430645,0.000104818,0.9957574,0.00003093789,0.00003999607,0.0000454448,0.001153483,0.0009562661,0.0001262376,0.000730315,0.001043986,0.000006748141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851012,0.001077754,0.0002197721,0.0005238293,0.00002215217,0.00002179528,0.0004122504,0.000008119143,0.01261299],"genre_scores_gemma":[0.9968208,0.0007224127,0.0002032355,0.00005448267,0.0001003072,0.00001372079,0.0003016891,0.000004410119,0.001778963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138977,"threshold_uncertainty_score":0.03810257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987882205740208,"score_gpt":0.2557563548849651,"score_spread":0.2158775328275631,"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."}}