{"id":"W6920149431","doi":"10.6068/dp14ba80ce75a61","title":"Trend 1998 - 2005. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Revenue, expenses and profitability of film, video and audio-visual distribution and videocassettes wholesaling companies, by financial control and financial activity | Variable: Salaries and benefits, expenses, Foreign control | Units: $CAD x 1,000, 1998-2005. 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; Profitability index; Distribution (mathematics); Population; Economic statistics; Descriptive statistics; Summary statistics; Socioeconomic status","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":[0.001892658,0.002590034,0.002630116,0.008958092,0.003224868,0.005039672,0.005390715,0.00150782,0.07723923],"category_scores_gemma":[0.01736644,0.001626097,0.001991329,0.04029933,0.0006738877,0.002526058,0.002212976,0.003070021,0.05455976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04551448,"about_ca_system_score_gemma":0.1120838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993404,"about_ca_topic_score_gemma":0.9918423,"domain_scores_codex":[0.9959368,0.0002356223,0.0004263862,0.0005620815,0.001931079,0.0009080814],"domain_scores_gemma":[0.9674493,0.001174198,0.0009878861,0.0009803765,0.02802102,0.001387174],"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":[0.00001894354,0.000005631704,0.0008438421,0.0001985473,0.00001641096,0.000005849995,0.00001635619,0.00009107521,0.000008309541,0.0002943979,0.9972274,0.001273296],"study_design_scores_gemma":[0.0001256934,0.000009961901,0.01802007,0.0007655243,0.00005915928,0.0000232138,0.0004227554,0.00048314,0.0001758513,0.0005656256,0.9792743,0.00007465437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004144582,0.00004166644,0.00001771731,0.00009155029,0.00002145672,0.000008775288,0.9991183,0.00004891658,0.0006101697],"genre_scores_gemma":[0.0005354405,0.0001916791,0.0002487223,0.00009913068,0.00001385404,0.00007092,0.9960614,0.00007277977,0.002706068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07723923,"threshold_uncertainty_score":0.3302322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430136046867804,"score_gpt":0.2337436881772844,"score_spread":0.2194423277086064,"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."}}