{"id":"W6976466628","doi":"10.6068/dp14ba86111e073","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by National Occupational Classification for Statistics (NOC-S) and sex | Variable: 241 months or more, Occupations in art, culture, recreation and sport, Females | Units: # Months 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; Summary statistics; Recreation; Wage; Descriptive statistics; Socioeconomic status; Wages and salaries; 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":[0.002290476,0.002326244,0.002819467,0.008807736,0.00349907,0.0047116,0.005164369,0.001449167,0.1086237],"category_scores_gemma":[0.01852538,0.001859749,0.002110708,0.04114288,0.000598115,0.002485814,0.002349511,0.003151078,0.06617767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05061014,"about_ca_system_score_gemma":0.1386371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949619,"about_ca_topic_score_gemma":0.9932979,"domain_scores_codex":[0.9955544,0.0003036951,0.0004946425,0.0005554662,0.00204427,0.001047511],"domain_scores_gemma":[0.9663736,0.001238941,0.0009609041,0.0009349094,0.02884219,0.001649435],"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":[0.00002145672,0.000006463105,0.0009117934,0.0002291436,0.00001758222,0.000005703131,0.00002170677,0.00008171201,0.000007585556,0.0003041719,0.9965348,0.001857929],"study_design_scores_gemma":[0.0001646346,0.00001381478,0.02727812,0.00094438,0.00007117098,0.00002720765,0.0005292501,0.0004417257,0.0001556055,0.0006866044,0.9695995,0.00008791452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005589616,0.00005649441,0.00003008788,0.0001288779,0.00003245884,0.00001728729,0.9986375,0.00006606175,0.0009753807],"genre_scores_gemma":[0.0008044766,0.0003389277,0.0004643916,0.0001889022,0.00002235592,0.0001569348,0.9922467,0.0001384424,0.00563873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1086237,"threshold_uncertainty_score":0.367204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870136746688199,"score_gpt":0.303215869816216,"score_spread":0.254514502349334,"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."}}