{"id":"W6958631650","doi":"10.6068/dp14ba7f1b48f9","title":"Trend 1996 - 2005. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Film, video and audio-visual production, by type of producer | Variable: Other producers, Profit margin | Units: # %, 1996-2005. 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; Economic statistics; Descriptive statistics; Summary statistics; Population; Socioeconomic status; Population statistics; Statistical analysis","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":[0.002239202,0.002676785,0.002700799,0.009412474,0.003770866,0.005613155,0.005496193,0.00151257,0.1003252],"category_scores_gemma":[0.01793585,0.00176537,0.002135666,0.04223504,0.000705449,0.002864654,0.002460945,0.003136226,0.06127338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05919377,"about_ca_system_score_gemma":0.1481074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995272,"about_ca_topic_score_gemma":0.9931879,"domain_scores_codex":[0.9950958,0.0002849979,0.0004866408,0.0006180136,0.002430707,0.001083862],"domain_scores_gemma":[0.961639,0.001116446,0.00102168,0.001093591,0.03340196,0.001727334],"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":[0.00002327323,0.0000063436,0.0008834405,0.0002204222,0.00001941062,0.000006624177,0.00002121763,0.0001056345,0.000009956394,0.0004177621,0.9966176,0.001668334],"study_design_scores_gemma":[0.0001159258,0.0000113467,0.01853593,0.0007598906,0.00006222312,0.00002356329,0.0004611295,0.0004218002,0.0001835021,0.0005834223,0.9787637,0.00007755433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005159939,0.00005297326,0.00002679942,0.00012958,0.00003334962,0.0000141769,0.9985248,0.00006331623,0.001103356],"genre_scores_gemma":[0.0008479974,0.0003087096,0.0003963038,0.0001540579,0.00001958194,0.0001134183,0.9923801,0.0001338154,0.005645894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1003252,"threshold_uncertainty_score":0.4294829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005101085545105,"score_gpt":0.2532588000533583,"score_spread":0.2332077891979073,"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."}}