{"id":"W4399711676","doi":"","title":"De la sélection d’une liste de stations hydrométriques d’évaluation pour Explore2 au nettoyage des séries de débits : un exercice collectif","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01459738,0.00100724,0.000849475,0.006677804,0.001959704,0.00343286,0.001140722,0.001341283,0.02841186],"category_scores_gemma":[0.03521991,0.0005783678,0.001385734,0.004494992,0.0005152443,0.002013223,0.001108845,0.0009641208,0.007999747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772651,"about_ca_system_score_gemma":0.004968934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03505211,"about_ca_topic_score_gemma":0.05389595,"domain_scores_codex":[0.9927375,0.002499813,0.001134461,0.0007404739,0.002492296,0.0003955158],"domain_scores_gemma":[0.9557351,0.01832391,0.001883647,0.003632574,0.01879352,0.001631136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002014463,0.001113442,0.1676816,0.003024353,0.000703274,0.0007383283,0.005077092,0.01575952,0.05664891,0.008154461,0.1291183,0.6099663],"study_design_scores_gemma":[0.000547864,0.001223188,0.4057795,0.001830709,0.0006802812,0.0008318062,0.008753901,0.03033184,0.05828948,0.004430714,0.4870023,0.0002984434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5667316,0.00384122,0.2039844,0.007876926,0.0009802521,0.004044342,0.07984164,0.004922023,0.1277775],"genre_scores_gemma":[0.5397969,0.002155543,0.3214511,0.0008081166,0.0003884077,0.003412127,0.05321017,0.001373505,0.07740395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03505211,"threshold_uncertainty_score":0.09504718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827372512095552,"score_gpt":0.2493408986444553,"score_spread":0.2310671735234998,"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."}}