{"id":"W6920250965","doi":"10.6068/dp14ba81e370112","title":"Trend 1997 - 2005. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Table: Summary statistics for arts, entertainment and recreation | Variable: Spectator sports, Salaries, wages and benefits | Units: $CAD x 1,000,000, 1997-2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-011.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Census; Entertainment; Publishing; Official statistics; Economic statistics; Descriptive statistics; The Internet; Summary 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":[0.00224069,0.002495183,0.002689296,0.009508804,0.003607389,0.005237142,0.005113713,0.00148017,0.09953973],"category_scores_gemma":[0.01956347,0.001782006,0.002011528,0.04517621,0.0007052486,0.002794034,0.00239903,0.003210355,0.06215427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05780448,"about_ca_system_score_gemma":0.165212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952173,"about_ca_topic_score_gemma":0.9930868,"domain_scores_codex":[0.9948339,0.0003000748,0.0005449823,0.0006178351,0.002574879,0.001128273],"domain_scores_gemma":[0.9596925,0.001314398,0.001026336,0.001075362,0.03515513,0.001736219],"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":[0.00001792635,0.000005258916,0.0007537552,0.000193789,0.00001611658,0.000006052663,0.00001769332,0.00009482082,0.000008003723,0.0003787982,0.9969345,0.001573201],"study_design_scores_gemma":[0.0001011384,0.00001005631,0.01683743,0.0007608195,0.00005855572,0.00002221493,0.0004438923,0.0004348831,0.0001566492,0.000651271,0.9804473,0.00007575332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005172503,0.00005543447,0.00003162012,0.0001581249,0.00003676757,0.00001527166,0.9983975,0.00007210112,0.001181457],"genre_scores_gemma":[0.0009051671,0.0003480927,0.0004756849,0.0002017384,0.00002173155,0.0001237964,0.9921229,0.0001463047,0.005654514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09953973,"threshold_uncertainty_score":0.4194028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581339903996277,"score_gpt":0.2212207581491019,"score_spread":0.2054073591091392,"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."}}