{"id":"W6920353461","doi":"10.6068/dp14ba7c4a75355","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Film and video distribution, operating expenses, by North American Industry Classification System (NAICS) | Variable: Advertising, marketing and promotions, Motion picture and video distribution | Units: %, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-046.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Population; Summary statistics; Descriptive statistics; Entertainment; 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":[0.002030554,0.002635645,0.002740195,0.009274106,0.003654139,0.005393879,0.005501599,0.001583378,0.08968371],"category_scores_gemma":[0.01922998,0.001673109,0.002248532,0.0404929,0.0007036967,0.002773597,0.00249907,0.003132892,0.06244797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04809641,"about_ca_system_score_gemma":0.1227352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935661,"about_ca_topic_score_gemma":0.9921015,"domain_scores_codex":[0.9955947,0.0002766371,0.0004367055,0.0005942106,0.0020921,0.001005673],"domain_scores_gemma":[0.9641308,0.001286846,0.0009708838,0.001087907,0.03092882,0.00159476],"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":[0.00001932752,0.000005114395,0.0007938887,0.000195349,0.00001699887,0.000005839797,0.00001726538,0.00008641091,0.000008201294,0.0002998008,0.9971975,0.001354266],"study_design_scores_gemma":[0.0001239128,0.00001089704,0.01854229,0.0008395449,0.00006683289,0.00002633322,0.0004752779,0.000486421,0.0001739422,0.0006387652,0.9785307,0.00008518599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004387072,0.00004793091,0.00002463411,0.0001144259,0.00002770639,0.0000108612,0.9989604,0.0000584869,0.0007116532],"genre_scores_gemma":[0.0005957661,0.0002242315,0.0003155818,0.0001221493,0.00001721969,0.00008513571,0.9955521,0.00009905968,0.002988713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08968371,"threshold_uncertainty_score":0.3489655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463524033040338,"score_gpt":0.2352434376031404,"score_spread":0.220608197272737,"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."}}