{"id":"W6901762814","doi":"10.6068/dp14ba8d550fe10","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: 45 to 49 years, Landscape and horticulture technicians and specialists, Total registration status, 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); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002723482,0.00253119,0.002890462,0.009255718,0.003559808,0.005139916,0.005388244,0.001640537,0.1000817],"category_scores_gemma":[0.02260816,0.001936454,0.002327155,0.04268722,0.0006925103,0.002639124,0.002385891,0.003470039,0.05619808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06186004,"about_ca_system_score_gemma":0.1700545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994934,"about_ca_topic_score_gemma":0.992662,"domain_scores_codex":[0.9944728,0.0003659561,0.0006520396,0.0006766271,0.002586885,0.001245672],"domain_scores_gemma":[0.952602,0.001836777,0.001378942,0.001228287,0.04070052,0.002253319],"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":[0.00002676632,0.000006850849,0.001029229,0.0003017579,0.00002179044,0.000006218756,0.00002177071,0.0001099551,0.000008577612,0.000326525,0.9963011,0.001839473],"study_design_scores_gemma":[0.0001820067,0.00001502044,0.02685671,0.001179976,0.00008782477,0.00002875532,0.0004889922,0.0004753053,0.0001726377,0.0006302748,0.9697872,0.00009532324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005144834,0.00006185417,0.00002526901,0.0001476388,0.00003394349,0.00001871146,0.9986848,0.00005741908,0.0009189752],"genre_scores_gemma":[0.0009090254,0.0004055515,0.0004468998,0.0002108734,0.00002542175,0.0001673747,0.9927983,0.0001384363,0.004898174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1000817,"threshold_uncertainty_score":0.4488281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118504714935661,"score_gpt":0.2590413099431776,"score_spread":0.227856262793821,"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."}}