{"id":"W3029213984","doi":"10.7202/1069008ar","title":"In Search of George Scott","year":2020,"lang":"en","type":"article","venue":"Ontario History","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Hollywood; Shot (pellet); Filmmaking; Art history; History; Motion picture; Film industry; Media studies; Economic history; Movie theater; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006719793,0.0003082029,0.0002537847,0.0006108959,0.006209693,0.004317737,0.0006756348,0.002485132,0.02318281],"category_scores_gemma":[0.003573332,0.0001834985,0.0001609545,0.0008566835,0.004258833,0.00204857,0.002156897,0.003473022,0.004961099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01675152,"about_ca_system_score_gemma":0.01596816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4321883,"about_ca_topic_score_gemma":0.7253363,"domain_scores_codex":[0.9990276,0.0001317443,0.00002235058,0.0001665243,0.0004163992,0.0002353879],"domain_scores_gemma":[0.9987468,0.0001328566,0.00005312053,0.00004134093,0.0003227916,0.0007031615],"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":[0.00001586519,0.000008592619,0.001071298,0.00003869861,0.000003022444,0.0003367797,0.003458244,0.00003476667,0.0001463066,0.09756055,0.8790725,0.01825334],"study_design_scores_gemma":[0.000001369437,0.000003533452,0.000494105,0.00003800128,9.880488e-7,0.00008942031,0.001026309,0.00001462256,0.00003619476,0.001765324,0.9965251,0.00000507272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01121929,0.03874106,0.0008424516,0.5205882,0.01514192,0.00003123151,0.0002774949,0.000128058,0.4130303],"genre_scores_gemma":[0.08580244,0.0140756,0.0004955719,0.06468761,0.002425658,0.0000150141,0.0001299622,0.0001079756,0.8322603],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5678117,"threshold_uncertainty_score":0.8593454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142842027131031,"score_gpt":0.2064687516814183,"score_spread":0.145040331410108,"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."}}