{"id":"W6901628743","doi":"10.6068/dp14ba8bb1fb943","title":"Trend 1995 - 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: 20 to 24 years, Community and social service workers, Total registration status, Both sexes | Units: #, 1995-2011. 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":"Statistics education; Census; Adult education; Apprenticeship; Descriptive statistics; Official statistics; Socioeconomic status; Training (meteorology); Economic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002805369,0.002591955,0.003072941,0.009521438,0.003552821,0.005300562,0.005644499,0.001627534,0.09781923],"category_scores_gemma":[0.02354672,0.001991663,0.002482103,0.04410628,0.0007154162,0.002756174,0.002429416,0.003485938,0.05459148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06106225,"about_ca_system_score_gemma":0.1704204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949885,"about_ca_topic_score_gemma":0.9926674,"domain_scores_codex":[0.994392,0.0003910952,0.000690781,0.0007067816,0.002595122,0.00122432],"domain_scores_gemma":[0.9564943,0.001668216,0.001307907,0.0012822,0.03721283,0.002034517],"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":[0.00002885666,0.000006471469,0.001022581,0.0003276601,0.00002598359,0.000006607432,0.00002262334,0.0001197233,0.000008912818,0.0003797826,0.9961482,0.001902472],"study_design_scores_gemma":[0.000191903,0.00001470454,0.02388726,0.001208408,0.0001014761,0.00003003256,0.000458665,0.0004988046,0.000168423,0.0007324824,0.9726089,0.00009888252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005096564,0.00007004001,0.00002875409,0.0001558004,0.00003790846,0.00001923241,0.9986377,0.00006594066,0.0009335565],"genre_scores_gemma":[0.0009689711,0.0004303638,0.0005057985,0.0002193895,0.00002581854,0.0001721512,0.9928588,0.0001571467,0.004661703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9021808,"threshold_uncertainty_score":0.4430397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304393663304232,"score_gpt":0.2666004112536605,"score_spread":0.2235564746206181,"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."}}