{"id":"W7029055585","doi":"","title":"How Canada can cut carbon pollution and revitalize its auto sector: report \\n\\tTamar Securities Financial Portal Home","year":2020,"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":"Government (linguistics); Work (physics); Debt; Pollution; Carbon fibers","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":[0.001676999,0.0007681678,0.0004268304,0.002211386,0.008503058,0.009589844,0.001512282,0.006018134,0.05803492],"category_scores_gemma":[0.005378422,0.0004581246,0.001022602,0.002997563,0.001514606,0.002184086,0.002320784,0.003569528,0.006784005],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06765066,"about_ca_system_score_gemma":0.3506084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958283,"about_ca_topic_score_gemma":0.9978733,"domain_scores_codex":[0.9967398,0.00008494491,0.00004022045,0.00007947034,0.001734468,0.001321216],"domain_scores_gemma":[0.9947355,0.0002524749,0.00008802921,0.00009692933,0.003385433,0.001441612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003365157,0.000046219,0.001239841,0.00009498603,0.00001492516,0.00005764387,0.0001260418,0.0002349111,0.000134369,0.01402057,0.9696373,0.01435956],"study_design_scores_gemma":[0.00006402674,0.00002161909,0.01547298,0.0002069489,0.00003961636,0.00002913696,0.00141802,0.000506199,0.0006335741,0.002608078,0.9789458,0.00005405586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01635067,0.006252101,0.0007418697,0.2089395,0.003142438,0.0004123876,0.04503387,0.001183698,0.7179434],"genre_scores_gemma":[0.06126671,0.008108363,0.001707841,0.03239597,0.000336426,0.0001403247,0.01071808,0.0003901836,0.884936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9323493,"threshold_uncertainty_score":0.4908422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011001263570966,"score_gpt":0.2184449545384602,"score_spread":0.2083349419027506,"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."}}