{"id":"W38334150","doi":"10.7202/803053ar","title":"Effets de la crise de l’énergie sur la croissance économique de Montréal et du Québec","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Oil refinery; Petrochemical; Investment (military); Economy; Welfare economics; Economics; Position (finance); Natural resource economics; Agricultural economics; Political science; Environmental science; Engineering; Environmental engineering; Finance; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008867042,0.0003284462,0.0002291267,0.0009151602,0.00130789,0.002589657,0.0005896091,0.0006413904,0.01518524],"category_scores_gemma":[0.004268133,0.0001444655,0.0004690818,0.001442977,0.0009489074,0.0004759158,0.0006227564,0.00081722,0.000523351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03276832,"about_ca_system_score_gemma":0.01822004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896106,"about_ca_topic_score_gemma":0.9904528,"domain_scores_codex":[0.9990668,0.0002104162,0.00001866086,0.0001016341,0.0003229203,0.0002796236],"domain_scores_gemma":[0.9967452,0.0005990922,0.0003730975,0.00008614534,0.001478303,0.000718124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001633816,0.0002299105,0.7766527,0.0002039812,0.001014215,0.001192273,0.002178369,0.01368676,0.004149339,0.0393715,0.05288999,0.1067971],"study_design_scores_gemma":[0.00004585213,0.00005523528,0.9593554,0.00004439524,0.00008306915,0.00005395195,0.0008854044,0.002440347,0.0003726254,0.0004402692,0.03618756,0.00003586599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006695,0.005279368,0.0008259156,0.02073903,0.0002806386,0.00005286885,0.004725155,0.0001418917,0.1672857],"genre_scores_gemma":[0.9709988,0.0008691736,0.0001311081,0.0004820846,0.0000417107,0.000006089635,0.0004032453,0.00002215887,0.02704568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03276832,"threshold_uncertainty_score":0.237752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315797707920215,"score_gpt":0.2565227813759134,"score_spread":0.2433648042967113,"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."}}