{"id":"W6957813778","doi":"10.6068/dp14ba8805ccf97","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics by business sector industry and by non-commercial activity consistent with the industry accounts | Variable: Hours worked for all jobs, Miscellaneous wholesaler-distributors | Units: Hours x 1,000, 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Wages and salaries; Summary statistics; Official statistics; Socioeconomic status; Business 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":[0.001790245,0.002585204,0.002702893,0.008437349,0.003063029,0.004785869,0.005260393,0.001514207,0.09273936],"category_scores_gemma":[0.0152443,0.001764288,0.001824503,0.04004055,0.000625792,0.002426036,0.002207768,0.003123764,0.06334921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04817842,"about_ca_system_score_gemma":0.1158548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994097,"about_ca_topic_score_gemma":0.99243,"domain_scores_codex":[0.9961746,0.0002354288,0.000345699,0.0005060711,0.001763563,0.0009745817],"domain_scores_gemma":[0.9708824,0.001067848,0.000981753,0.0008252105,0.02476763,0.001475125],"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":[0.00001962268,0.000006605349,0.0008448798,0.0001628428,0.00001471119,0.000005276197,0.00001664744,0.0000995661,0.000006983715,0.0002872301,0.9971494,0.001386177],"study_design_scores_gemma":[0.0001512909,0.00001159698,0.02390761,0.0007582139,0.00005219391,0.0000237617,0.0004729428,0.0005482244,0.0001941834,0.0006663532,0.9731247,0.00008895807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005367732,0.0000409004,0.00002148585,0.000105513,0.00002192181,0.00001043539,0.9989406,0.00006092591,0.0007445265],"genre_scores_gemma":[0.000721232,0.0002253581,0.0003034666,0.0001211393,0.00001544848,0.000085376,0.9944734,0.0001045059,0.003950045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09273936,"threshold_uncertainty_score":0.3495606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153612435414915,"score_gpt":0.2402513494960311,"score_spread":0.218715225141882,"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."}}