{"id":"W1030502552","doi":"10.1051/lhb/20150032","title":"Gestion optimale de la vidange des bassins de rétention en réseau unitaire à l'aide d'un modèle intégré","year":2015,"lang":"fr","type":"article","venue":"La Houille Blanche","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Forestry; Physics; Art; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001730211,0.0003091247,0.0002181592,0.000100807,0.0003120095,0.0001701613,0.0004485306,0.0003705137,0.0008692588],"category_scores_gemma":[0.0002585755,0.0003282133,0.0001220088,0.0004195096,0.0008955575,0.0007552352,0.0004631719,0.0004205677,0.001510649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560829,"about_ca_system_score_gemma":0.00009679205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004282813,"about_ca_topic_score_gemma":0.0009321125,"domain_scores_codex":[0.9969629,0.001131844,0.0002814093,0.0004495479,0.0003906139,0.0007836849],"domain_scores_gemma":[0.9987738,0.0001931178,0.0001130595,0.0004671514,0.00002617217,0.0004266934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001504792,0.002140016,0.5646463,0.0002514414,0.0003243136,0.0004402751,0.01769248,0.06531595,0.01343791,0.03458327,0.1926381,0.1083795],"study_design_scores_gemma":[0.00144843,0.0001899095,0.7138073,0.0001966084,0.0002992871,0.0001650169,0.001522388,0.04084404,0.001987241,0.02097302,0.2178911,0.0006755715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670625,0.002937726,0.1492802,0.005923733,0.0004864566,0.0004630339,0.00006323543,0.0002816151,0.0735015],"genre_scores_gemma":[0.9216834,0.0004843223,0.05738128,0.0002004416,0.000215191,0.00007251823,0.00003597787,0.00005953347,0.01986737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546208,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242190875814904,"score_gpt":0.2462180541913965,"score_spread":0.2137961454332475,"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."}}