{"id":"W7055114642","doi":"","title":"Caractérisation de l’apport de la gestion durable des eaux pluviales en milieu urbain : suivi et évaluation pour deux cas d’application.","year":2021,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquatic environment; Pollution prevention; Environmental policy","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":[0.0006435669,0.0006729336,0.0006445146,0.0005445923,0.0005730533,0.001218011,0.0008623546,0.001125234,0.004275027],"category_scores_gemma":[0.001043488,0.0003777274,0.0007107089,0.0008424151,0.0002952435,0.0005821957,0.0004645386,0.000537989,0.0007981015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771479,"about_ca_system_score_gemma":0.0008253712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09728049,"about_ca_topic_score_gemma":0.1435898,"domain_scores_codex":[0.9995347,0.0000547985,0.00001745366,0.0001160469,0.0002072639,0.00006985866],"domain_scores_gemma":[0.9995185,0.0001344926,0.00002755836,0.0000477596,0.0002416973,0.0000300571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001181738,0.0007098122,0.03595189,0.001177151,0.0001182721,0.0005594231,0.001152993,0.08512414,0.756097,0.0006972525,0.001613981,0.1156163],"study_design_scores_gemma":[0.00006486975,0.001841478,0.08096188,0.00008601923,0.0001584047,0.0002244418,0.001753137,0.2715445,0.6252813,0.0004428895,0.01752498,0.000116139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704266,0.001244484,0.02038335,0.0001787132,0.00004495822,0.0001632053,0.001117177,0.0006065715,0.005834812],"genre_scores_gemma":[0.9703853,0.0008064551,0.02090968,0.00004432886,0.000003734724,0.0001021918,0.0007555965,0.00009867216,0.006894103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09728049,"threshold_uncertainty_score":0.1934285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06041481869154124,"score_gpt":0.3478021737664049,"score_spread":0.2873873550748636,"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."}}