{"id":"W6939382133","doi":"10.6068/dp14ba8cfd72f31","title":"Trend 1998 - 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: Under 20 years, Heavy duty equipment mechanics, Already registered at the beginning of the reporting period, Females | Units: #, 1998-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Statistics education; Apprenticeship; Descriptive statistics; Economic statistics; Socioeconomic status; Official statistics; Statistical analysis; Disadvantage","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":[0.002983784,0.002529002,0.002906509,0.01031569,0.00354015,0.005438344,0.005568327,0.001698217,0.1082351],"category_scores_gemma":[0.02719808,0.001940051,0.002338915,0.04600182,0.0006723999,0.002753228,0.002678502,0.003241325,0.06107146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05589105,"about_ca_system_score_gemma":0.15878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933419,"about_ca_topic_score_gemma":0.9907561,"domain_scores_codex":[0.9938829,0.0004192731,0.0007807614,0.0007503891,0.002884712,0.001281937],"domain_scores_gemma":[0.9462373,0.00221539,0.001631977,0.001529026,0.04603564,0.002350616],"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":[0.0000233405,0.000005802163,0.0008669471,0.0002738754,0.00001955226,0.000005576252,0.00002009662,0.00008812762,0.000008097042,0.0003309048,0.9967027,0.001654937],"study_design_scores_gemma":[0.0001591507,0.00001225364,0.02125471,0.001025695,0.00007363179,0.00002484524,0.0004331668,0.0004028485,0.0001569396,0.0006665579,0.975701,0.00008918032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004189281,0.00004623043,0.00002624785,0.0001301048,0.00003193371,0.00001833225,0.998769,0.00006178545,0.0008744961],"genre_scores_gemma":[0.0007178204,0.0003048307,0.0004505148,0.000193293,0.0000221085,0.0001693791,0.9940323,0.0001389215,0.003970886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1082351,"threshold_uncertainty_score":0.4055198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337729421943065,"score_gpt":0.2619581128916169,"score_spread":0.1985808186721862,"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."}}