{"id":"W6920364784","doi":"10.6068/dp14ba8309f7e68","title":"Trend 2006 - 2011. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Film, television and video production, summary statistics, by North American Industry Classification System (NAICS) | Variable: Motion picture and video productioná, Operating profit margin | Units: , 2006-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-046.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Descriptive statistics; Economic statistics; Summary statistics; Population; Entertainment; Profit margin; Index (typography)","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":[],"consensus_categories":[],"category_scores_codex":[0.002168252,0.002649009,0.002692627,0.009272818,0.003624491,0.005356753,0.005206065,0.001565291,0.09349588],"category_scores_gemma":[0.0207318,0.001711598,0.002182105,0.04094774,0.0006858132,0.002817697,0.002418906,0.003237817,0.05997787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04970649,"about_ca_system_score_gemma":0.1338877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936748,"about_ca_topic_score_gemma":0.9915397,"domain_scores_codex":[0.9952617,0.0003060235,0.0004841745,0.0006123082,0.002316977,0.001018828],"domain_scores_gemma":[0.9605249,0.001442077,0.001061403,0.001140839,0.03415411,0.001676602],"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":[0.00002047917,0.000005543913,0.0008409396,0.0002149739,0.00001743388,0.000006170637,0.00001798473,0.00009787876,0.000008814854,0.000339904,0.9968902,0.001539721],"study_design_scores_gemma":[0.0001256699,0.00001171177,0.01916868,0.0008883775,0.00006692136,0.00002677617,0.00046068,0.0004943201,0.0001721674,0.0006746397,0.9778246,0.00008550905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004515651,0.00005232096,0.00002843917,0.0001252826,0.00003073785,0.00001259817,0.9987981,0.00006218283,0.0008451205],"genre_scores_gemma":[0.0007169527,0.0002906486,0.0004009704,0.0001439792,0.00002097569,0.0001036675,0.9944459,0.000117415,0.003759547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09349588,"threshold_uncertainty_score":0.3606475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778562568243137,"score_gpt":0.2331341539940317,"score_spread":0.2153485283116003,"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."}}