{"id":"W7034269240","doi":"","title":"Tough U.S. climate stance could help Canada defy critics, boost emissions targets","year":2021,"lang":"en","type":"other","venue":"","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Government (linguistics); Greenhouse gas; Work (physics); Sustainability","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":[0.001781876,0.0006657306,0.0002928918,0.001182733,0.005443985,0.004687926,0.001337428,0.005617442,0.1487277],"category_scores_gemma":[0.005888327,0.0002579417,0.0005894529,0.001274163,0.001990944,0.001686084,0.002056684,0.003687804,0.03630631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01858349,"about_ca_system_score_gemma":0.06289716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7738296,"about_ca_topic_score_gemma":0.8952678,"domain_scores_codex":[0.9980885,0.00008458331,0.00002506648,0.0001269494,0.001236364,0.0004384454],"domain_scores_gemma":[0.9951934,0.0003764534,0.0000915865,0.000190714,0.003041669,0.001106043],"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":[0.0000197088,0.00002817856,0.0006427716,0.0000269187,0.000002952269,0.0000431462,0.00005116247,0.0001122421,0.0003153997,0.01960997,0.9573408,0.02180683],"study_design_scores_gemma":[0.000008815768,0.000005310049,0.001298314,0.00003535581,0.000003848926,0.00001740816,0.0001113655,0.0001560763,0.000420127,0.003343554,0.9945863,0.00001359575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001722492,0.001508409,0.001181741,0.09414025,0.002532577,0.00007345733,0.005836363,0.001198959,0.8918058],"genre_scores_gemma":[0.01010408,0.001032031,0.001676153,0.02106128,0.0003334869,0.00003894381,0.001721814,0.000431721,0.9636005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2261704,"threshold_uncertainty_score":0.4975439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367922199103887,"score_gpt":0.2675255436753844,"score_spread":0.2538463216843455,"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."}}