{"id":"W7006379056","doi":"","title":"Training Students For Jobs in Ontario’s Energy SectorMcGuinty Government Building Ontario?s Clean Energy Workforce","year":2012,"lang":"en","type":"other","venue":"","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Workforce; Training (meteorology); Energy (signal processing); Workforce development; Clean energy; Job training","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":[0.001076782,0.000384072,0.0001755111,0.0009130038,0.01104133,0.003279987,0.001293306,0.002921443,0.1187571],"category_scores_gemma":[0.00195663,0.0005324226,0.0004449269,0.001240569,0.000955117,0.00104921,0.002320284,0.001858407,0.01130559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03533647,"about_ca_system_score_gemma":0.1883077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9361904,"about_ca_topic_score_gemma":0.991152,"domain_scores_codex":[0.998285,0.00006913743,0.00002407259,0.00006132566,0.0003958001,0.001164685],"domain_scores_gemma":[0.9890741,0.000144949,0.0001561466,0.00009883224,0.001396297,0.009129807],"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":[0.00008769194,0.0003076118,0.02724578,0.0002050955,0.0000063782,0.0002759164,0.003254463,0.0001444258,0.0008273858,0.00353575,0.8765868,0.0875227],"study_design_scores_gemma":[0.00004593012,0.00007755843,0.1083931,0.0002466488,0.000008171815,0.00009239322,0.012703,0.0001935697,0.0004654158,0.0004808281,0.877273,0.0000204119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1058509,0.002287958,0.0006970476,0.1134045,0.00209183,0.00103045,0.01084019,0.0004318497,0.7633652],"genre_scores_gemma":[0.07474295,0.001043525,0.0005459883,0.007195756,0.0001637816,0.0001814239,0.001571514,0.00008581995,0.9144693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1187571,"threshold_uncertainty_score":0.3972819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412103887399521,"score_gpt":0.2429166884462005,"score_spread":0.2187956495722053,"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."}}