{"id":"W6999204781","doi":"","title":"British Columbia first in Canada to set sectoral emissions targets","year":2021,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Government (linguistics); Climate change; Data set","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":[0.002203008,0.000746726,0.0005374907,0.001814783,0.0104004,0.007127504,0.001631648,0.00726676,0.0494648],"category_scores_gemma":[0.007654725,0.000626407,0.001010668,0.002246846,0.001054139,0.00137368,0.002247367,0.006687851,0.007175819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08944035,"about_ca_system_score_gemma":0.3544932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995286,"about_ca_topic_score_gemma":0.9977241,"domain_scores_codex":[0.9966577,0.0001651096,0.0000835875,0.0002093654,0.001405562,0.001478564],"domain_scores_gemma":[0.9927047,0.0002757557,0.00009907581,0.0001848912,0.005027952,0.001707698],"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":[0.00007077804,0.00004832853,0.00329598,0.0001147705,0.00002203203,0.0001897594,0.0003195714,0.0006125572,0.0003436269,0.03981971,0.9290638,0.02609902],"study_design_scores_gemma":[0.00003200466,0.00001088456,0.005555954,0.0001403343,0.00001975567,0.00002362544,0.0004836183,0.0003830354,0.0003511841,0.001529805,0.9914399,0.00002995347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01702119,0.004257256,0.002109881,0.1082707,0.006195382,0.0006030005,0.02125738,0.0008892957,0.8393959],"genre_scores_gemma":[0.03690471,0.001300993,0.001964598,0.02819233,0.0001374445,0.0001742231,0.002944906,0.0002340724,0.9281468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08944035,"threshold_uncertainty_score":0.6489382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363410726791977,"score_gpt":0.2533505109816835,"score_spread":0.2397164037137638,"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."}}