{"id":"W2799924108","doi":"","title":"Suivi et évaluation d'un éco-procédé par adsorption sur lit filtrant pour le traitement des eaux de ruissellement routier","year":2015,"lang":"fr","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001306145,0.0006112353,0.0004964409,0.0001658631,0.0006907221,0.00009788331,0.000773277,0.0003508412,0.001919602],"category_scores_gemma":[0.0000459129,0.0007621627,0.0004423583,0.0007132582,0.0005326408,0.001172096,0.0005302277,0.0004492038,0.0003709663],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004960492,"about_ca_system_score_gemma":0.0005650643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0285757,"about_ca_topic_score_gemma":0.008956458,"domain_scores_codex":[0.9959192,0.0005686648,0.0004113402,0.0009726886,0.0009764942,0.001151627],"domain_scores_gemma":[0.9978753,0.0001057512,0.0003679292,0.0005652432,0.00007849996,0.001007269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003369665,0.001175878,0.03480099,0.000107697,0.0003907738,0.0003314038,0.02489017,0.03006847,0.8680564,0.0008010046,0.002852954,0.03618725],"study_design_scores_gemma":[0.004876057,0.0005020729,0.07842925,0.0002373246,0.001266812,0.0001086457,0.01441874,0.007580587,0.8528363,0.001194859,0.03732784,0.001221516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733439,0.003150042,0.004770784,0.005518653,0.0002174299,0.0004210261,0.0001786192,0.0001084994,0.01229104],"genre_scores_gemma":[0.9558811,0.005910471,0.003297914,0.0002436934,0.0001036276,0.000004097016,0.0002221526,0.00005652341,0.03428042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04362827,"threshold_uncertainty_score":0.9994829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020694938512626,"score_gpt":0.1997885777140593,"score_spread":0.179581628328933,"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."}}