{"id":"W7139235158","doi":"","title":"Promoting climate literacy in British Columbia's apprenticeship system: Evaluating one's union efforts to overcome attitudinal barriers to low carbon construction","year":2017,"lang":"","type":"other","venue":"Summit (Simon Fraser University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Process (computing); Literacy; Work (physics); Climate change","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":[0.005031659,0.0003874102,0.000328765,0.0006299747,0.005145627,0.002878805,0.00139178,0.0009150778,0.005790644],"category_scores_gemma":[0.009562641,0.0002942605,0.0002373699,0.000719962,0.001141254,0.000695955,0.003012415,0.001789244,0.001379428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309689,"about_ca_system_score_gemma":0.04904047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6742547,"about_ca_topic_score_gemma":0.8902538,"domain_scores_codex":[0.9975286,0.0006915858,0.00006198391,0.0001231581,0.0007116078,0.0008830691],"domain_scores_gemma":[0.991116,0.00096725,0.0003085988,0.0002506427,0.002821654,0.004535803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003477833,0.02231882,0.3061661,0.0008693352,0.0001520948,0.0003152223,0.06326853,0.001062162,0.003711202,0.001300592,0.04357993,0.5537781],"study_design_scores_gemma":[0.0004667262,0.008952537,0.8250041,0.0008702293,0.0001941795,0.00003965236,0.1080472,0.0008040829,0.003477899,0.0004603328,0.05156938,0.0001137935],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711978,0.0002476403,0.0001301341,0.002056994,0.00004305777,0.0007559566,0.0003192654,0.00004933547,0.02519975],"genre_scores_gemma":[0.9803995,0.0005730348,0.000775941,0.001213555,0.00001223136,0.0006667974,0.0005079737,0.00002333459,0.01582751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3257453,"threshold_uncertainty_score":0.6553273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486217224188078,"score_gpt":0.2482853355047089,"score_spread":0.2334231632628282,"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."}}