{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003113388,0.00051419,0.0004758217,0.0001060073,0.0001031517,0.0000806827,0.0006467037,0.0003465986,0.04341839],"category_scores_gemma":[0.00001046605,0.0004840867,0.0001322638,0.0001523164,0.00007775515,0.0001459705,0.0004644069,0.0002216466,0.00003232881],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006615202,"about_ca_system_score_gemma":0.0001343998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9208958,"about_ca_topic_score_gemma":0.9952491,"domain_scores_codex":[0.9971241,0.00003535886,0.0003965669,0.0005449142,0.000856395,0.001042654],"domain_scores_gemma":[0.999185,0.00006348726,0.0002190542,0.0003236203,0.000003821663,0.0002050071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009009464,0.0001574152,0.5663463,0.0000269523,0.0001780734,0.0000193681,0.01204786,0.0001613921,0.00005995157,0.007557714,0.3596147,0.0537401],"study_design_scores_gemma":[0.0005477883,0.00004224375,0.05199397,0.00008845852,0.00002132716,0.000002163068,0.0008978657,0.000007249241,0.00011515,0.0001706678,0.9455016,0.0006115501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01962648,0.00006111412,0.001080335,0.00002484133,0.0006649966,0.0003259043,0.000008061209,0.00009736977,0.9781109],"genre_scores_gemma":[0.06164029,0.00002366444,0.002530242,0.0006025457,0.000179879,0.0001846025,0.00003529564,0.0002588349,0.9345446],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5858868,"threshold_uncertainty_score":0.9997611,"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."}}