{"id":"W6920198589","doi":"10.6068/dp14ba8cd4b4664","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Health care and social assistance, Annual average number of hours worked for self-employed jobs | Units: , 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; Official statistics; Wages and salaries; Summary statistics; National accounts; Socioeconomic status; Social statistics; Population 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002089492,0.002539249,0.002927116,0.008572272,0.002900276,0.004765246,0.00530483,0.00153887,0.08161031],"category_scores_gemma":[0.01810529,0.001814997,0.002061674,0.04172608,0.0005948245,0.002419858,0.002141075,0.003316827,0.05369229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05258528,"about_ca_system_score_gemma":0.1277387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9939291,"about_ca_topic_score_gemma":0.991931,"domain_scores_codex":[0.9954705,0.0002896405,0.0004678374,0.0005733726,0.002140884,0.001057754],"domain_scores_gemma":[0.9637648,0.001199133,0.001183239,0.000938102,0.03139744,0.001517332],"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":[0.0000246033,0.000007472305,0.001001631,0.0001950404,0.00002058029,0.000005659812,0.00001644452,0.0001056848,0.000008122861,0.0002964597,0.9969881,0.001330173],"study_design_scores_gemma":[0.0001976662,0.00001494899,0.03137396,0.0008964564,0.00007248324,0.00002798769,0.0004445229,0.0006044509,0.0002221972,0.0006768944,0.9653643,0.0001042025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005806306,0.0000423523,0.00001948809,0.0001015658,0.00002518331,0.00001272906,0.9989819,0.00005495209,0.0007036792],"genre_scores_gemma":[0.0007593537,0.0002175303,0.0003120884,0.0001367507,0.00001822064,0.000102612,0.9948261,0.00009653694,0.003530641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9939291,"threshold_uncertainty_score":0.3815347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563521463877943,"score_gpt":0.2468043418915521,"score_spread":0.2311691272527726,"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."}}