{"id":"W6901552442","doi":"10.6068/dp14ba834043887","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Canadian summary characteristics of performing arts, by discipline and company size | Variable: Total volunteers, Music, Large size companies | Units: #, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-048.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Census; Economic statistics; Official statistics; The arts; Statistics education; Population; Recreation; Publication; Population statistics","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":[0.001780317,0.002916067,0.002947253,0.009581859,0.003392346,0.005081753,0.005577391,0.001419271,0.07831746],"category_scores_gemma":[0.01382506,0.001670185,0.002497032,0.04601259,0.0006859291,0.002738554,0.002381972,0.003300291,0.04568635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04888748,"about_ca_system_score_gemma":0.1228144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954717,"about_ca_topic_score_gemma":0.9938651,"domain_scores_codex":[0.9958783,0.0002222324,0.0004019987,0.0005064715,0.001927969,0.001063008],"domain_scores_gemma":[0.9713657,0.0008367456,0.0009488951,0.0007172308,0.02467283,0.00145853],"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":[0.00002875702,0.000007875855,0.00148695,0.0002580369,0.00002385105,0.000007847574,0.00002709261,0.0001083853,0.000008415846,0.0003580981,0.9962251,0.001459479],"study_design_scores_gemma":[0.0001684306,0.00001705376,0.04258282,0.001006982,0.00008878033,0.00003313179,0.0008255303,0.0005780174,0.0002093107,0.0006029738,0.9537804,0.0001065377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006647663,0.00004733319,0.00001992084,0.0001094275,0.00002595389,0.00001196268,0.9988828,0.00004380294,0.0007922774],"genre_scores_gemma":[0.0009781065,0.0002580073,0.0002513283,0.000126363,0.00001763967,0.0001034232,0.9943001,0.00007993418,0.003885025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07831746,"threshold_uncertainty_score":0.3547052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707236724910451,"score_gpt":0.2311826591975354,"score_spread":0.2141102919484309,"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."}}