{"id":"W6901577152","doi":"10.6068/dp14baa32b0e157","title":"Trend 2006 - 2008. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Province: Prince Edward Island | Table: Film, television and video production, summary statistics, by North American Industry Classification System (NAICS) | Variable: Motion picture and video productioná, Operating expenses (x 1,000,000) | Units: , 2006-2008. 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; Population; Economic statistics; Entertainment; Summary statistics; Descriptive statistics; Population statistics; Distribution (mathematics)","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":[0.002052152,0.002533148,0.002658752,0.008786232,0.003220273,0.005008459,0.005071395,0.00147898,0.09099168],"category_scores_gemma":[0.01915347,0.00165444,0.002114684,0.04029728,0.0006568801,0.002612648,0.002270725,0.003014398,0.05937032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04397754,"about_ca_system_score_gemma":0.1229862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928985,"about_ca_topic_score_gemma":0.9908491,"domain_scores_codex":[0.9958252,0.0002680284,0.0004708013,0.0005556178,0.001977252,0.0009031581],"domain_scores_gemma":[0.962568,0.001440314,0.001063761,0.001063383,0.0323463,0.00151828],"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":[0.0000193802,0.000005356746,0.0008331135,0.0002125072,0.00001723677,0.000005582547,0.00001712829,0.00008530861,0.000007738863,0.0002945372,0.9971792,0.001323065],"study_design_scores_gemma":[0.0001313427,0.00001112391,0.01990597,0.0008350263,0.00006374637,0.00002379669,0.0004495379,0.0004197348,0.0001604096,0.0005789461,0.9773445,0.00007603657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004410211,0.0000446321,0.00002100312,0.0001085848,0.00002772158,0.00001141377,0.9989328,0.00005025948,0.0007595395],"genre_scores_gemma":[0.0006271112,0.0002468151,0.0003141562,0.0001287525,0.00001920029,0.000100005,0.9946445,0.0000895387,0.003829912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09099168,"threshold_uncertainty_score":0.3190808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484351006806418,"score_gpt":0.2329054654291804,"score_spread":0.2180619553611162,"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."}}