{"id":"W3118169349","doi":"","title":"Gestion de l'eau au Canada : analyse des périmètres de compétence entre fédéral et provincial (St-Laurent, Grands lacs)","year":2008,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Integrated Water Resources Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Regional science; Geography; Art","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":[0.002607067,0.0002982009,0.0003652098,0.002382116,0.005484874,0.006297139,0.0011669,0.0008641005,0.004556754],"category_scores_gemma":[0.006982455,0.0002589002,0.0004218738,0.004843219,0.002987144,0.001813265,0.003355687,0.001268844,0.0003310668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06411768,"about_ca_system_score_gemma":0.07517822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861118,"about_ca_topic_score_gemma":0.9908444,"domain_scores_codex":[0.9970492,0.0005081326,0.000073521,0.0002875602,0.00117612,0.0009055048],"domain_scores_gemma":[0.9935313,0.001400149,0.0005062871,0.0001331042,0.002881337,0.001547848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004283074,0.0001706531,0.5246039,0.0002242691,0.0001585743,0.0006944726,0.2588893,0.003050602,0.002461808,0.03214977,0.009351922,0.1678164],"study_design_scores_gemma":[0.000009519164,0.00006686964,0.7762522,0.0001603361,0.00002278473,0.00006586339,0.1866382,0.001839175,0.0005264186,0.001313369,0.03306051,0.00004474157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738245,0.0005942537,0.001165844,0.002254875,0.00002060005,0.00005758262,0.0006924748,0.00002916145,0.02136069],"genre_scores_gemma":[0.9883032,0.0002328772,0.0007287564,0.00009531104,0.00000314171,0.00002877832,0.0002116014,0.00001442221,0.01038179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06411768,"threshold_uncertainty_score":0.4652085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009963419838587118,"score_gpt":0.2078072196052712,"score_spread":0.1978437997666841,"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."}}