{"id":"W6976253636","doi":"10.6068/dp14ba8f6c55994","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: 35 to 39 years, Landscape and horticulture technicians and specialists, Already registered at the beginning of the reporting period, Females | 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; Economic statistics; Official statistics; Training (meteorology)","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":[0.002817369,0.002580251,0.003041342,0.009756515,0.003363902,0.004957804,0.005548275,0.00165231,0.08926671],"category_scores_gemma":[0.02267942,0.001936706,0.002362423,0.04485393,0.0007019081,0.002493623,0.002344507,0.003460939,0.0489935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06556445,"about_ca_system_score_gemma":0.1787494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954551,"about_ca_topic_score_gemma":0.9933525,"domain_scores_codex":[0.9940591,0.0003970154,0.0007256911,0.0007187971,0.002778397,0.001321086],"domain_scores_gemma":[0.9478632,0.001944929,0.001661611,0.001268769,0.04485914,0.002402477],"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":[0.00003210431,0.000008114843,0.001280844,0.000359812,0.00002706537,0.00000693814,0.00002470867,0.0001213326,0.00001034479,0.0003224453,0.9958548,0.001951481],"study_design_scores_gemma":[0.0002003601,0.00001827345,0.03511029,0.001347803,0.0001076531,0.00003205116,0.00056704,0.0004962735,0.0001971597,0.0005939911,0.9612219,0.0001070542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005858997,0.00006662016,0.00002509975,0.0001471036,0.0000346177,0.00002023987,0.9987491,0.00005531772,0.0008431502],"genre_scores_gemma":[0.001005887,0.0004278078,0.0004598404,0.00022133,0.00002627441,0.0001749341,0.9926599,0.0001285332,0.004895532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08926671,"threshold_uncertainty_score":0.4757056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432776230985206,"score_gpt":0.27109284810714,"score_spread":0.226765085797288,"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."}}