{"id":"W6957673516","doi":"10.6068/dp14ba841d4ac6","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Canadian summary characteristics of performing arts, by discipline and company size | Variable: Total volunteers, Opera, Medium size companies | Units: #, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Amusement; Census; Descriptive statistics; Socioeconomic status; Tourism; Official statistics; Publication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003969049,0.0006012927,0.0009053883,0.00008151554,0.0003215423,0.0005763044,0.0009257202,0.0002458926,0.0002221114],"category_scores_gemma":[0.0001716619,0.0004919967,1.06365e-7,0.0005283012,0.0003880754,0.0006101992,0.0005852956,0.0004349472,0.000001384312],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911852,"about_ca_system_score_gemma":0.01660663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998068,"about_ca_topic_score_gemma":0.9992633,"domain_scores_codex":[0.9968323,0.0001548924,0.0007594493,0.0009865401,0.0006641339,0.0006026441],"domain_scores_gemma":[0.9970441,0.0002736779,0.0005514442,0.001098733,0.0004245582,0.0006074311],"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":[0.00003817346,0.00003143558,0.000172074,0.001251066,0.0001449045,0.00008265037,0.00001447798,0.000002268717,0.000007697749,0.00005772822,0.9970069,0.001190641],"study_design_scores_gemma":[0.0005782134,0.00004187375,0.00006655607,0.0002231695,0.0002231191,0.0003916158,0.0002782234,0.03482524,1.137936e-7,8.781699e-8,0.9627746,0.0005972001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006214856,0.005444396,0.00005661365,0.00001705512,0.0008417826,0.0004445421,0.9927871,0.00003595494,0.0003663178],"genre_scores_gemma":[0.00006281079,0.002270759,0.001906776,0.0001946577,0.0001157851,0.0000103097,0.9930531,0.00007633797,0.002309397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03482297,"threshold_uncertainty_score":0.9997532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116060688045455,"score_gpt":0.2113207104721707,"score_spread":0.1997146416676251,"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."}}