{"id":"W7047429460","doi":"","title":"Gestion intégrée et adaptée du barrage North Hatley dans le contexte des changements climatiques","year":2021,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Repartition; Watershed","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":[0.002544633,0.0004765012,0.0005322189,0.000775966,0.001716122,0.003664033,0.001204285,0.001064451,0.006181098],"category_scores_gemma":[0.004433041,0.0004522947,0.0007138685,0.00125512,0.001451109,0.001538324,0.001845261,0.001039944,0.0007198698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004733901,"about_ca_system_score_gemma":0.004970443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2121309,"about_ca_topic_score_gemma":0.3826568,"domain_scores_codex":[0.9985647,0.0005564101,0.00004326063,0.0003870839,0.0002847653,0.0001638737],"domain_scores_gemma":[0.9977562,0.001286192,0.0002253548,0.0002179119,0.0003774016,0.0001368829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000729946,0.0005960755,0.2304934,0.001515125,0.0003319765,0.001445368,0.04635277,0.205023,0.04468643,0.05589593,0.003533441,0.4093965],"study_design_scores_gemma":[0.0001016021,0.001258196,0.3373597,0.001155059,0.000328324,0.0004815484,0.07197278,0.4158115,0.02534218,0.0434973,0.1023588,0.0003329921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7909882,0.0009318281,0.181282,0.001331656,0.00004973616,0.0004439608,0.0005538259,0.0002443651,0.02417442],"genre_scores_gemma":[0.7955027,0.0006963763,0.1835972,0.000145331,0.00001082507,0.0003880815,0.0003415463,0.00008294384,0.01923501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7878692,"threshold_uncertainty_score":0.4217922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484916880533081,"score_gpt":0.2157265939696018,"score_spread":0.200877425164271,"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."}}