{"id":"W2185412887","doi":"","title":"Channel Conduct, Performance, and Entrepreneurship: An Account of the Motion Picture Industry","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Entrepreneurship; Context (archaeology); Multitude; Channel (broadcasting); Motion (physics); Power (physics); Film industry; TRACE (psycholinguistics); Industrial organization; Economics; Marketing; Business; Sociology; Computer science; Political science; Telecommunications; Artificial intelligence; Law; Visual arts; History; Movie theater; Art","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":[0.0004609213,0.0001651845,0.00009966224,0.002016263,0.002000509,0.00433885,0.0005146941,0.001311927,0.006654269],"category_scores_gemma":[0.001574825,0.0001472091,0.0002485955,0.001993197,0.004347089,0.005277663,0.002185671,0.0009384647,0.0004409041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710855,"about_ca_system_score_gemma":0.001571932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006860915,"about_ca_topic_score_gemma":0.008374103,"domain_scores_codex":[0.9995849,0.000115242,0.000009606701,0.00003437357,0.00008720985,0.0001686504],"domain_scores_gemma":[0.9991179,0.0004192443,0.0001721556,0.00004785268,0.00008565105,0.0001571923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002433472,0.00003757249,0.006466061,0.00002950815,0.000003449679,0.0005649228,0.003977559,0.001645987,0.0001507052,0.967836,0.004105871,0.01515803],"study_design_scores_gemma":[0.00003733102,0.0001305361,0.05587241,0.0003164352,0.0000437463,0.001148953,0.02135626,0.02420723,0.0007527999,0.6042002,0.2918357,0.00009840742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2881944,0.006299329,0.01387622,0.01473062,0.0001693677,0.00006479616,0.0001476808,0.00007980689,0.6764378],"genre_scores_gemma":[0.9789689,0.002510835,0.001070868,0.0003413898,0.000157995,0.0000334176,0.00003212057,0.00001568962,0.01686889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006860915,"threshold_uncertainty_score":0.02226073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754368742866343,"score_gpt":0.2365090038908917,"score_spread":0.2089653164622283,"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."}}