{"id":"W6977386493","doi":"10.6068/dp14ba8d2783d15","title":"Trend 1991 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Adult Education and Training | Country: Canada | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: Total age groups, Construction workers (other), New registration during the reporting period, Both sexes | Units: #, 1991-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-067.","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; Adult education; Descriptive statistics; Official statistics; Economic statistics; Socioeconomic status","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002436245,0.001403979,0.001561009,0.0002553521,0.001219716,0.001588799,0.001186775,0.0007169484,0.000562353],"category_scores_gemma":[0.0007754548,0.001414657,0.000001096389,0.0004180304,0.0009982542,0.001172558,0.0002917912,0.001984321,0.000004687778],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005750056,"about_ca_system_score_gemma":0.01851219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976536,"about_ca_topic_score_gemma":0.9951856,"domain_scores_codex":[0.9907387,0.001215312,0.002799696,0.00251735,0.001441393,0.001287566],"domain_scores_gemma":[0.9897848,0.0008313407,0.005718261,0.002507329,0.00008061986,0.00107759],"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":[0.0001411925,0.00007928123,0.0001149451,0.0009880805,0.0004576423,0.0001751653,0.0008134278,0.00001800666,0.00005199692,0.0008760605,0.9936807,0.002603524],"study_design_scores_gemma":[0.001312452,0.00009637582,0.00007796974,0.0002892452,0.0009869281,0.003799519,0.04594374,0.001149819,3.631434e-8,0.000003627008,0.9449086,0.001431734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001198308,0.004967574,0.00003340403,0.00002809289,0.000979272,0.001425705,0.9896802,0.0002346613,0.002531213],"genre_scores_gemma":[0.001272974,0.0004944789,0.001760997,0.0001707839,0.0009434525,0.00008948274,0.9855146,0.0005838345,0.00916939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04877212,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296380079879252,"score_gpt":0.2561976285456782,"score_spread":0.2232338277468857,"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."}}