{"id":"W4392198829","doi":"","title":"Influence des bassins de gestion des eaux pluviales sur la dynamique de concentration des chlorures dans les cours d’eau d’amont","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"STREAMS; Stormwater; Stormwater management; Environmental science; Hydrology (agriculture); Chloride; Dynamics (music); Computer science; Geology; Ecology; Chemistry; Surface runoff; Geotechnical engineering; Computer network; Biology","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","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.007333787,0.0004021538,0.000297359,0.0001347152,0.001350865,0.0005528536,0.001244574,0.00047527,0.0000840067],"category_scores_gemma":[0.005568038,0.000442381,0.0001404817,0.0009767659,0.005345399,0.000978314,0.0007118529,0.0005447691,0.0001405428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992624,"about_ca_system_score_gemma":0.0002592562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0548225,"about_ca_topic_score_gemma":0.05109157,"domain_scores_codex":[0.9911307,0.006159434,0.0005441986,0.0006848893,0.0004897803,0.0009909598],"domain_scores_gemma":[0.9952701,0.002601933,0.0003028811,0.001083333,0.0004577636,0.0002839359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002130768,0.0005112697,0.6063768,0.0002849369,0.00005148306,0.00003838846,0.04448452,0.01649276,0.183396,0.02434874,0.0005435843,0.1234502],"study_design_scores_gemma":[0.0002833114,0.000002604535,0.6198734,0.001682544,0.00004123678,0.00003540136,0.001204253,0.0306019,0.3258615,0.01807878,0.001965789,0.0003693111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150081,0.0010831,0.0698242,0.008404034,0.0001062575,0.0003238456,0.00006818847,0.0008590439,0.004323279],"genre_scores_gemma":[0.9476374,0.004797973,0.04141738,0.00002672603,0.00002256951,0.00008540072,0.00007321431,0.00005555713,0.005883728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424654,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102186931378307,"score_gpt":0.2478028445909335,"score_spread":0.2167809752771504,"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."}}