{"id":"W6920191433","doi":"10.6068/dp14ba8f0e4dc23","title":"Trend 2003 - 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: 45 to 49 years, Stationary engineers and power plant operators, Already registered at the beginning of the reporting period, Females | Units: #, 2003-2011. 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; Economic statistics; Official 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"],"consensus_categories":[],"category_scores_codex":[0.002349802,0.0009693457,0.001240932,0.0001907215,0.0006512304,0.0005993245,0.001128038,0.0004176266,0.000361848],"category_scores_gemma":[0.001803542,0.0008597545,5.459776e-7,0.0005020559,0.0007043732,0.0005259698,0.0004658779,0.001176484,0.00000303496],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003324573,"about_ca_system_score_gemma":0.0208883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9811022,"about_ca_topic_score_gemma":0.9781068,"domain_scores_codex":[0.9930831,0.001000224,0.002018701,0.001742571,0.001246902,0.0009085388],"domain_scores_gemma":[0.992762,0.0007527243,0.003272232,0.002216192,0.0002308695,0.0007660367],"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":[0.00008695919,0.00005904205,0.0001798467,0.0006507208,0.000340643,0.0001007223,0.001760278,0.00002004495,0.00002951574,0.0005543366,0.9956799,0.0005380181],"study_design_scores_gemma":[0.0007816907,0.00009049193,0.0001479137,0.0002939989,0.0005947693,0.00135543,0.03480167,0.0009105262,5.47448e-8,4.22996e-7,0.9600917,0.0009313366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001323276,0.008590412,0.00001208025,0.00004021721,0.0006236505,0.001399299,0.9881706,0.0000703714,0.0009609986],"genre_scores_gemma":[0.0008447777,0.0005418321,0.001046803,0.0003535664,0.0001854457,0.00008473229,0.9904914,0.0003836441,0.006067772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03558817,"threshold_uncertainty_score":0.9993853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027438579996673,"score_gpt":0.2630456777394203,"score_spread":0.2227712919394536,"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."}}