{"id":"W6997310203","doi":"","title":"Vagues de chaleur : variabilité historique et changements futurs dans le sud du Québec","year":2019,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poison control; Climate extremes; Food supply","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":[0.001147415,0.0002697455,0.0003600263,0.002104739,0.0009348022,0.002415489,0.0006191555,0.0003950982,0.002167162],"category_scores_gemma":[0.003656464,0.0002119423,0.0004671006,0.004853501,0.0009980433,0.0007471855,0.0006186586,0.0004242579,0.0001196438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01425905,"about_ca_system_score_gemma":0.007573359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744736,"about_ca_topic_score_gemma":0.9835076,"domain_scores_codex":[0.9995368,0.00007692497,0.0000247573,0.0001286985,0.0001484928,0.00008443223],"domain_scores_gemma":[0.9970524,0.000877493,0.0004227399,0.0001432156,0.001375245,0.0001289178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001305737,0.00002157447,0.918525,0.000143499,0.0002273013,0.0002014183,0.003080092,0.04082802,0.001402855,0.002234949,0.001096555,0.03210805],"study_design_scores_gemma":[0.00000372557,0.00001235557,0.9666231,0.00005657199,0.00004354169,0.00003457939,0.002484023,0.02666116,0.0002919241,0.0003868602,0.00336915,0.00003289202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886467,0.0006102919,0.003866196,0.0003019951,0.000007322734,0.00002692785,0.002757668,0.00005243421,0.003730521],"genre_scores_gemma":[0.9958552,0.0002231885,0.001306932,0.00002133852,0.000002203028,0.00001245715,0.0008877271,0.000008292916,0.001682604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0255264,"threshold_uncertainty_score":0.1034572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004847680946542616,"score_gpt":0.1511607391846817,"score_spread":0.1463130582381391,"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."}}