{"id":"W6901384014","doi":"10.6068/dp14ba8bf386574","title":"Trend 1991 - 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: 30 to 34 years, Refrigeration and air conditioning mechanics, New registration during the reporting period, Males | Units: #, 1991-2011. 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":"Census; Statistics education; Apprenticeship; Descriptive statistics; Economic statistics; Official statistics; Socioeconomic status; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002754958,0.002523883,0.002974511,0.009717462,0.003586084,0.005113545,0.005402376,0.001692427,0.09902829],"category_scores_gemma":[0.02328545,0.001893222,0.002424911,0.04316767,0.000673142,0.002581097,0.002402376,0.003367827,0.05582358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05856635,"about_ca_system_score_gemma":0.1709836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947473,"about_ca_topic_score_gemma":0.9922522,"domain_scores_codex":[0.9943368,0.0003834246,0.0006577772,0.0007050764,0.002659599,0.001257355],"domain_scores_gemma":[0.9546565,0.001779404,0.001372721,0.001234058,0.03884615,0.002111143],"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":[0.00002634683,0.000006663104,0.001066841,0.0003124537,0.00002466806,0.00000640054,0.000022366,0.000115416,0.000009187439,0.0003403095,0.9962546,0.00181483],"study_design_scores_gemma":[0.0001723334,0.00001495646,0.02530439,0.001081688,0.00008935934,0.00002845656,0.0004651819,0.0004853813,0.0001736698,0.0005961066,0.9714911,0.00009740672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005442953,0.00006218703,0.00002867007,0.0001572737,0.00003513681,0.00001889003,0.9986941,0.00006229257,0.0008869773],"genre_scores_gemma":[0.0009761471,0.0004094782,0.0004780955,0.0002161777,0.00002645308,0.0001668761,0.9929718,0.0001425011,0.0046125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9009717,"threshold_uncertainty_score":0.4249306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035369844634749,"score_gpt":0.2751877530719716,"score_spread":0.2348340546256242,"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."}}