{"id":"W7023995033","doi":"","title":"Prendre le virage: perspectives et opportunités découlant du plan canadien sur les émissions industrielles de gaz à effet de serre","year":2008,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Poison control; Ile de france","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":[0.004774817,0.0008397596,0.000482102,0.001518449,0.003861426,0.01050652,0.001418147,0.002442611,0.01837162],"category_scores_gemma":[0.005545463,0.0003881523,0.000868194,0.002183467,0.003482178,0.006430628,0.003990908,0.003543314,0.001704075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223307,"about_ca_system_score_gemma":0.0190587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09565565,"about_ca_topic_score_gemma":0.1720724,"domain_scores_codex":[0.995742,0.001721719,0.00008611529,0.0004374177,0.001185979,0.0008268214],"domain_scores_gemma":[0.9968204,0.001141052,0.0002831245,0.0002531052,0.0009587593,0.0005434697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005233063,0.000326886,0.01328471,0.001397462,0.0001825977,0.001645955,0.023095,0.01874228,0.007847843,0.6446033,0.02923256,0.2591182],"study_design_scores_gemma":[0.0000587286,0.0008380042,0.02489161,0.002391896,0.0001741671,0.0003335411,0.05154026,0.005372528,0.006276879,0.12444,0.7834406,0.0002417117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2009826,0.02722652,0.04054515,0.101717,0.00110985,0.0003560726,0.0005921182,0.0004281907,0.6270425],"genre_scores_gemma":[0.8801712,0.01203964,0.01317978,0.004915485,0.0001046771,0.0001569008,0.0002830536,0.000175349,0.08897386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9043443,"threshold_uncertainty_score":0.1901978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522769578999483,"score_gpt":0.2119320244047785,"score_spread":0.1867043286147837,"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."}}