{"id":"W4300124082","doi":"","title":"Perspectives de collaboration en modélisation et prévision hydrologiques","year":2010,"lang":"fr","type":"preprint","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":"","funders":"","keywords":"Mod; Geology; Computer science; Environmental science; Artificial intelligence","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":[0.1220114,0.002086793,0.002475101,0.002956359,0.005642907,0.03445131,0.006776337,0.0131604,0.01490185],"category_scores_gemma":[0.07223571,0.001331923,0.003300124,0.005013107,0.008279523,0.03227983,0.02296273,0.01177367,0.002899222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006435974,"about_ca_system_score_gemma":0.02173623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044631,"about_ca_topic_score_gemma":0.005080801,"domain_scores_codex":[0.8867958,0.08446037,0.003375772,0.006048269,0.01336498,0.005954865],"domain_scores_gemma":[0.8539324,0.09306505,0.004143662,0.01774666,0.0207874,0.01032487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00056259,0.0008094643,0.006695107,0.001503851,0.0003042908,0.000689585,0.01601634,0.03276589,0.002425268,0.7203461,0.02154809,0.1963335],"study_design_scores_gemma":[0.0002199276,0.0004390893,0.00191932,0.001414979,0.00008949867,0.0003972322,0.01858591,0.05152821,0.003699312,0.6696332,0.251895,0.0001783763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0529092,0.02759525,0.5406663,0.2741034,0.002434637,0.0002856135,0.000622958,0.001245576,0.100137],"genre_scores_gemma":[0.5825807,0.02991329,0.3502092,0.008195217,0.002346239,0.0008966402,0.001604815,0.001195748,0.02305804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1220114,"threshold_uncertainty_score":0.6452658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008192811158762713,"score_gpt":0.2357141998965725,"score_spread":0.2275213887378098,"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."}}