{"id":"W6920501601","doi":"10.6068/dp14ba84c86b013","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), by National Occupational Classification for Statistics (NOC-S) and sex | Variable: Employment, Occupations in art, culture, recreation and sport, Both sexes | Units: # Persons x 1,000, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-143.","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; Economic statistics; Official statistics; Wage; Summary statistics; Recreation; Socioeconomic status; Descriptive statistics; Population statistics; Social 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":[0.002402766,0.002279652,0.002859745,0.008721582,0.00367234,0.004656924,0.00535173,0.001451398,0.105987],"category_scores_gemma":[0.0190842,0.001886417,0.002168478,0.04126929,0.0006108805,0.002477752,0.002330722,0.00316112,0.06141791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05682095,"about_ca_system_score_gemma":0.158116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958371,"about_ca_topic_score_gemma":0.994374,"domain_scores_codex":[0.995348,0.0003153137,0.0005241922,0.0005611854,0.002157419,0.00109392],"domain_scores_gemma":[0.9650276,0.001213399,0.0009496561,0.0009246015,0.03021742,0.001667303],"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":[0.00002324049,0.000006790528,0.001029356,0.0002556076,0.00001952898,0.000006095518,0.00002380213,0.00008829788,0.00000813112,0.0003379633,0.9961305,0.00207074],"study_design_scores_gemma":[0.0001786911,0.00001520748,0.0317216,0.00106596,0.00008226389,0.00002959058,0.000582146,0.0004713887,0.0001611451,0.0007290342,0.9648695,0.00009341031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006237875,0.00006414164,0.00003227774,0.0001440482,0.00003650306,0.00002076849,0.9984881,0.0000667131,0.001085156],"genre_scores_gemma":[0.001026035,0.0004164556,0.0005663653,0.0002291719,0.00002532482,0.0001906234,0.990869,0.0001500206,0.006526875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.105987,"threshold_uncertainty_score":0.4122668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04462879624681252,"score_gpt":0.2977608404672257,"score_spread":0.2531320442204132,"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."}}