{"id":"W6939190899","doi":"10.6068/dp14ba7ff112d66","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), multiple jobholders by National Occupational Classification for Statistics (NOC-S), sex and age group | Variable: 25 years and over, Construction trades, Males | 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; Official statistics; Economic statistics; Summary statistics; Wage; Socioeconomic status; 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":[0.002355389,0.00232728,0.002760926,0.008540154,0.003657051,0.00484895,0.005365955,0.001444929,0.1113816],"category_scores_gemma":[0.01907788,0.001875157,0.002075379,0.0405147,0.0006204625,0.002519029,0.002318895,0.003098134,0.0670755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05549637,"about_ca_system_score_gemma":0.1467031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995425,"about_ca_topic_score_gemma":0.9939628,"domain_scores_codex":[0.9955038,0.0003117463,0.0004899256,0.0005508817,0.002073639,0.001069981],"domain_scores_gemma":[0.9642525,0.001286496,0.0009667259,0.0009911075,0.03076786,0.001735286],"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":[0.00002178411,0.000006379884,0.000917163,0.0002218691,0.00001711444,0.000005803368,0.00002292249,0.00008508004,0.000008223398,0.0003266008,0.9964622,0.001904878],"study_design_scores_gemma":[0.0001626882,0.00001326961,0.02576064,0.0009181795,0.00006903397,0.00002682417,0.0005388791,0.0004504244,0.0001622578,0.0007094918,0.9710982,0.00009016676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005812092,0.00005466561,0.00003273585,0.0001344337,0.00003437441,0.00001942388,0.9985164,0.00007181576,0.001078124],"genre_scores_gemma":[0.0008938246,0.0003445261,0.0005471033,0.0002055691,0.00002238557,0.0001694735,0.99163,0.0001555385,0.006031544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113816,"threshold_uncertainty_score":0.4026562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466072169834909,"score_gpt":0.2774920996050519,"score_spread":0.2328313779067029,"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."}}