{"id":"W6901760395","doi":"10.6068/dp14ba8b461af19","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: 35 to 39 years, User support technicians, Already registered at the beginning of the reporting period, Males | Units: #, 1997-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Apprenticeship; Descriptive statistics; Economic statistics; Socioeconomic status; Official statistics; Statistical analysis","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":[0.002807583,0.002570462,0.002954863,0.01020202,0.003547437,0.005307281,0.005282221,0.001624196,0.09843571],"category_scores_gemma":[0.02340021,0.001959431,0.002396682,0.04524811,0.0006856321,0.002629088,0.002449669,0.003341487,0.0558118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0585125,"about_ca_system_score_gemma":0.1720551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946437,"about_ca_topic_score_gemma":0.9919986,"domain_scores_codex":[0.9941749,0.0003970495,0.0006722411,0.0007029483,0.002776236,0.001276693],"domain_scores_gemma":[0.9535484,0.001822315,0.001410984,0.001270238,0.03986436,0.002083737],"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":[0.00002427462,0.000006504214,0.0009989296,0.0002865652,0.00002307275,0.000006294386,0.00002250034,0.0001071678,0.00000848277,0.0003443306,0.9964297,0.001742158],"study_design_scores_gemma":[0.0001637796,0.00001369332,0.02343551,0.001067376,0.00008481585,0.00002789378,0.0005042735,0.0004641141,0.0001756398,0.0006166479,0.9733503,0.0000960416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005331408,0.00005788806,0.00002905611,0.0001569429,0.00003635995,0.00001929621,0.9986406,0.00006679932,0.0009396903],"genre_scores_gemma":[0.0009365791,0.000395734,0.0004820719,0.0002107533,0.00002591298,0.0001781387,0.9928783,0.000152044,0.004740403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09843571,"threshold_uncertainty_score":0.4245399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05225752848363421,"score_gpt":0.2882821911611856,"score_spread":0.2360246626775514,"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."}}