{"id":"W6901422775","doi":"10.6068/dp14ba8a075fe39","title":"Trend 1991 - 2000. 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, Reinstatement during the reporting period, Males | Units: #, 1991-2000. 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; Vocational education","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":[0.003274027,0.002569204,0.00288987,0.01041939,0.00375844,0.005404149,0.005715855,0.001783086,0.1152601],"category_scores_gemma":[0.02746664,0.002053072,0.002308041,0.0461605,0.0006947188,0.002765833,0.002634791,0.003364906,0.06569723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06166939,"about_ca_system_score_gemma":0.1782838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942034,"about_ca_topic_score_gemma":0.9913468,"domain_scores_codex":[0.9933633,0.0004431206,0.0007979487,0.0007772289,0.003169856,0.001448658],"domain_scores_gemma":[0.940735,0.002206414,0.001659505,0.001597658,0.05119739,0.002603932],"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":[0.00002451807,0.000006827473,0.0009498922,0.0002796682,0.00001992206,0.000005656321,0.00002160714,0.00009800225,0.000009008647,0.0003537737,0.9964551,0.001776002],"study_design_scores_gemma":[0.0001723971,0.00001445739,0.02563188,0.001016405,0.000071652,0.00002445178,0.0004646496,0.0004276907,0.0001670031,0.0006507885,0.9712664,0.00009219349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004973299,0.00004647785,0.00002823905,0.0001455126,0.00003536071,0.00002318262,0.9985392,0.00006573457,0.001066539],"genre_scores_gemma":[0.0008642121,0.0003268422,0.0005206761,0.0002373963,0.00002427455,0.000203329,0.9921968,0.0001561546,0.00547029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1152601,"threshold_uncertainty_score":0.4474449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394433529637131,"score_gpt":0.2752732987737202,"score_spread":0.2358299458100071,"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."}}