{"id":"W6901565852","doi":"10.6068/dp14ba8b0351571","title":"Trend 1991 - 2011. 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: Total age groups, Total major trade groups, New registration during the reporting period, Both sexes | Units: #, 1991-2011. 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; Apprenticeship; Statistics education; Descriptive statistics; Official statistics; Economic 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":[],"consensus_categories":[],"category_scores_codex":[0.003257824,0.002513635,0.002984538,0.01058807,0.00379757,0.005627439,0.005616823,0.001784247,0.1168676],"category_scores_gemma":[0.0283587,0.002017497,0.002405488,0.04742807,0.0007113887,0.002861605,0.00272673,0.00340505,0.06631875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06413893,"about_ca_system_score_gemma":0.1826845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938313,"about_ca_topic_score_gemma":0.9912179,"domain_scores_codex":[0.9932986,0.0004698934,0.0008556551,0.000773906,0.003175413,0.001426597],"domain_scores_gemma":[0.9397557,0.002433184,0.001749865,0.001650805,0.0517027,0.002707737],"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":[0.00002353544,0.000005944723,0.0008558157,0.0002998299,0.00002070396,0.000005440165,0.00002043244,0.00009717191,0.000008144287,0.0003578365,0.9965814,0.001723779],"study_design_scores_gemma":[0.0001538349,0.00001280646,0.02193862,0.001052784,0.00007458408,0.00002389903,0.0004292056,0.000390578,0.0001526176,0.0006511781,0.9750261,0.00009380167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004492008,0.00005237319,0.00002817645,0.0001532701,0.00003592978,0.00002174519,0.9985726,0.00006619835,0.001024751],"genre_scores_gemma":[0.0008272209,0.0003727706,0.0005343253,0.0002316897,0.0000255486,0.0001930893,0.9926885,0.0001634361,0.004963375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1168676,"threshold_uncertainty_score":0.4653627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956621524779298,"score_gpt":0.2636870345686907,"score_spread":0.2241208193208977,"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."}}