{"id":"W4385594550","doi":"10.59962/9780774830430-003","title":"Acknowledgments","year":2016,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003061678,0.0007955119,0.000952518,0.001617722,0.001810702,0.003162169,0.002015706,0.001129024,0.3734275],"category_scores_gemma":[0.01821544,0.0002752547,0.0005262869,0.001336473,0.0006311502,0.002127689,0.003050992,0.002657119,0.3056142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259787,"about_ca_system_score_gemma":0.003332237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687271,"about_ca_topic_score_gemma":0.005606082,"domain_scores_codex":[0.9964963,0.0006451228,0.0001529501,0.0005386067,0.001970878,0.000196166],"domain_scores_gemma":[0.986752,0.001425118,0.00032357,0.0008664254,0.008446022,0.002186746],"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":[0.0000346425,0.00001403955,0.0002380932,0.0001312385,0.000003669928,0.0001024836,0.0002936603,0.00007653607,0.0002960702,0.00837603,0.9549937,0.03544003],"study_design_scores_gemma":[0.000004686065,0.000004700683,0.0001817327,0.00009420833,0.000002548386,0.0001064581,0.0001561887,0.00003613054,0.00009884913,0.001500596,0.9978095,0.000004371985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003961323,0.007937624,0.02244561,0.08330269,0.08420511,0.001100227,0.04365139,0.005009297,0.7483867],"genre_scores_gemma":[0.01360455,0.003280258,0.01438959,0.01496511,0.005364762,0.0006272673,0.01836921,0.003281162,0.9261182],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6265725,"threshold_uncertainty_score":0.8937296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683152230627504,"score_gpt":0.1704204157069104,"score_spread":0.1435888934006354,"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."}}