{"id":"W2923256694","doi":"","title":"Rapport d'expertise sur les conditions d'applicabilité des résultats de l'étude sur l'impact d'épandage d'effluents agro-industriels sur la lixiviation de différentes substances vers les eaux souterraines, à d'autres contextes pédoclimatiques du bassin Seine-Normandie","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Environmental science; Humanities; Art","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":[0.005646059,0.001069197,0.001419169,0.00116616,0.0009318769,0.002672418,0.001101794,0.002158963,0.005171478],"category_scores_gemma":[0.005915469,0.0003950429,0.001388331,0.0009443806,0.0008444123,0.001638237,0.001340802,0.001164337,0.001405127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248661,"about_ca_system_score_gemma":0.001215431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094549,"about_ca_topic_score_gemma":0.008211297,"domain_scores_codex":[0.9957454,0.0008604584,0.0002911897,0.001046144,0.001834978,0.0002217969],"domain_scores_gemma":[0.9947233,0.002275772,0.0002637807,0.000524477,0.002106537,0.0001061269],"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":[0.0007619412,0.0003182414,0.01049434,0.001258526,0.0001893705,0.0004784888,0.002443223,0.0051446,0.9114232,0.0006079205,0.0009626127,0.06591757],"study_design_scores_gemma":[0.00004835614,0.0008599907,0.03371914,0.0001413353,0.0002928754,0.000559861,0.0015927,0.006721475,0.9279622,0.0009659687,0.02704463,0.00009133497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009105,0.007210992,0.07010505,0.001327984,0.0002472942,0.0002399036,0.00232517,0.0004835892,0.01714955],"genre_scores_gemma":[0.9387406,0.00533636,0.03916715,0.0003928862,0.0001507165,0.0002572221,0.001902585,0.0002598169,0.01379268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094549,"threshold_uncertainty_score":0.0298596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880362273341337,"score_gpt":0.2426584340354144,"score_spread":0.223854811302001,"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."}}