{"id":"W2949459454","doi":"","title":"L'étude de l'effet du nombre de municipalités riveraines dans la gestion locale des épisodes d'algues bleu-vert au Québec","year":2018,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Forestry; Political science; Philosophy; Geography","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":[0.001647693,0.0004462397,0.0007180719,0.001176753,0.001765426,0.002629712,0.001203699,0.0007942118,0.005031633],"category_scores_gemma":[0.006060316,0.0003085086,0.0009040797,0.0030888,0.001112682,0.0009017147,0.001105497,0.0008779087,0.0004191512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01799404,"about_ca_system_score_gemma":0.011725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9765857,"about_ca_topic_score_gemma":0.9876968,"domain_scores_codex":[0.9986258,0.0004888584,0.00003603692,0.0002870612,0.0002902641,0.0002720027],"domain_scores_gemma":[0.9933243,0.002377554,0.0006449816,0.0002708909,0.002483834,0.0008983702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004815733,0.0001909691,0.9432865,0.000287483,0.0006404236,0.0003206861,0.004703861,0.006629653,0.002188519,0.001069013,0.003067376,0.03713406],"study_design_scores_gemma":[0.0000087462,0.0001071924,0.9870521,0.0000590656,0.0001145699,0.00002375426,0.004227368,0.003866861,0.0002413366,0.0001172917,0.004159585,0.00002215708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893373,0.001042316,0.001532125,0.0009656218,0.00002873906,0.00005003294,0.001687601,0.00005724053,0.005299008],"genre_scores_gemma":[0.9873421,0.0005848164,0.001245765,0.0001181573,0.000005608174,0.00005052968,0.0007020565,0.00002016809,0.009930854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02341425,"threshold_uncertainty_score":0.1305566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008179290511176454,"score_gpt":0.1933647938572274,"score_spread":0.1851855033460509,"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."}}