{"id":"W7002455519","doi":"","title":"nFocus - Epi 117 - Crafting Canadian Cinema - Virinderpaul Singh","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filmmaking; Nothing; Conversation; Movie theater","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005917904,0.0004987189,0.0002247847,0.0009631118,0.008051025,0.004531922,0.0006195112,0.001922415,0.4557675],"category_scores_gemma":[0.001944242,0.0003248258,0.0001967296,0.001003874,0.0007723803,0.001496777,0.002018141,0.002053542,0.09594572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007317155,"about_ca_system_score_gemma":0.01239291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6917342,"about_ca_topic_score_gemma":0.9364165,"domain_scores_codex":[0.9994026,0.00003185661,0.000006513219,0.00003262469,0.0003340708,0.0001922392],"domain_scores_gemma":[0.9983104,0.00008454598,0.00002474904,0.00004409431,0.0007985983,0.0007376747],"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":[0.000004823444,0.000003756373,0.00005454636,0.00001286318,3.337622e-7,0.00002614556,0.0001193942,0.000006058718,0.00006925224,0.0008503225,0.9912543,0.007598194],"study_design_scores_gemma":[9.913548e-7,0.000001957857,0.0003476034,0.00001675786,3.961528e-7,0.00001679891,0.0003768505,0.000007949273,0.00003314902,0.00005666839,0.999138,0.000002915919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001208496,0.001854963,0.0002172743,0.01531221,0.004306038,0.00007887538,0.001372418,0.0004042973,0.9752454],"genre_scores_gemma":[0.00335156,0.0006125673,0.0001860979,0.001072877,0.0001639956,0.00001105453,0.0002475681,0.0001227994,0.9942315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5442325,"threshold_uncertainty_score":0.7762817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008128084728955279,"score_gpt":0.1931569957399465,"score_spread":0.1850289110109912,"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."}}