{"id":"W6901423845","doi":"10.6068/dp14ba8c8d86992","title":"Trend 1991 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: Unknown age, Electronics and instrumentation, Already registered at the beginning of the reporting period, Males | Units: #, 1991-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","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; 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":[],"consensus_categories":[],"category_scores_codex":[0.003018462,0.002477215,0.002903403,0.01006202,0.003800815,0.005339884,0.005599228,0.001728039,0.1113973],"category_scores_gemma":[0.02661814,0.001896813,0.002313467,0.04553943,0.0006909657,0.002702248,0.00266015,0.003248161,0.06337005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0609534,"about_ca_system_score_gemma":0.174908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941357,"about_ca_topic_score_gemma":0.9916257,"domain_scores_codex":[0.9935372,0.0004333915,0.0008017996,0.0007705663,0.003054344,0.001402678],"domain_scores_gemma":[0.9419987,0.002245556,0.001696507,0.001543882,0.04997004,0.002545253],"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":[0.00002468957,0.000006418022,0.0009779215,0.0002849672,0.00002030541,0.000005722041,0.00002118946,0.0000966797,0.000009090688,0.0003469388,0.9965454,0.001660806],"study_design_scores_gemma":[0.0001573693,0.00001392655,0.02500665,0.001041122,0.0000714026,0.00002448426,0.0004706001,0.000393763,0.0001665026,0.0006063753,0.9719537,0.00009404671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000461745,0.00004604404,0.00002524632,0.0001364639,0.00003329947,0.00001980121,0.9987038,0.0000573668,0.0009317939],"genre_scores_gemma":[0.0008623363,0.0003337922,0.0004921855,0.0002197821,0.00002427722,0.0001842936,0.992848,0.0001429867,0.004892436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113973,"threshold_uncertainty_score":0.44225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904470177290154,"score_gpt":0.2797922787881978,"score_spread":0.2307475770152963,"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."}}