{"id":"W6938897399","doi":"10.6068/dp14ba8d1545992","title":"Trend 1961 - 1997. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour productivity and related variables, by industry according to the Canadian System of National Accounts | Variable: Agricultural and related service industries, M-level aggregation, Hours worked for employee jobs | Units: Hours x 1,000, 1961-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-138.","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; Work (physics); Economic statistics; Recreation; Productivity; Official statistics; Descriptive statistics; Summary statistics; Unpaid work; Socioeconomic status","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":[0.001774944,0.002268429,0.002467143,0.007604879,0.003023295,0.004416413,0.005049461,0.001320504,0.09615519],"category_scores_gemma":[0.01520286,0.001517835,0.001818963,0.03894585,0.0005695316,0.00213878,0.00206842,0.002950021,0.05705562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04754872,"about_ca_system_score_gemma":0.1071449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946161,"about_ca_topic_score_gemma":0.9929528,"domain_scores_codex":[0.9960992,0.0002299903,0.0004006794,0.0005429186,0.001780954,0.0009462196],"domain_scores_gemma":[0.9722936,0.001005306,0.0009338678,0.0007762396,0.02360442,0.001386497],"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":[0.00002432448,0.000007490827,0.001219886,0.0002269494,0.00001950719,0.000006349983,0.00002823756,0.0001107712,0.000008016773,0.0003479534,0.9963046,0.001695805],"study_design_scores_gemma":[0.000143172,0.00001333687,0.0337852,0.0008309128,0.0000631809,0.00002529866,0.0006139869,0.0004647018,0.0001645629,0.0005940852,0.9632175,0.00008422903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006326482,0.00004109475,0.00002255084,0.00009044765,0.00001915888,0.00001121989,0.998925,0.00005023312,0.0007769925],"genre_scores_gemma":[0.0008954819,0.0002283443,0.0003051932,0.0001068054,0.00001420949,0.0001021148,0.9943151,0.00009181276,0.003940853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09615519,"threshold_uncertainty_score":0.3449917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912955217712576,"score_gpt":0.2367185459667874,"score_spread":0.2075889937896616,"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."}}