{"id":"W1878882670","doi":"10.7202/705300ar","title":"Identification des compartiments responsables de la qualité des eaux de surface d'un petit bassin versant du centre du Nouveau-Brunswick (Canada): application et analyse du modèle hydrochimique EMMA","year":2005,"lang":"fr","type":"article","venue":"Revue des sciences de l eau","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Institut National de la Recherche Scientifique; Université du Québec à Montréal; Université de Moncton","funders":"","keywords":"Forestry; Geology; Humanities; Physics; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006409042,0.0003426316,0.000321104,0.00009421874,0.001722127,0.0004978654,0.0008548934,0.0001792822,0.0007271814],"category_scores_gemma":[0.0002398312,0.0003673263,0.0001328522,0.0009774494,0.003672041,0.001055953,0.0001958417,0.00025025,0.0002876763],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004529126,"about_ca_system_score_gemma":0.001188302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4067367,"about_ca_topic_score_gemma":0.5194187,"domain_scores_codex":[0.9940823,0.002831105,0.0007165624,0.0007379138,0.0006372639,0.0009947994],"domain_scores_gemma":[0.9980872,0.0005065959,0.0004177561,0.0004349161,0.00005380472,0.0004996951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007656284,0.0006042204,0.5388354,0.0001484615,0.00004471864,0.00002913383,0.01368394,0.3965681,0.03568377,0.009356299,0.001208232,0.00376119],"study_design_scores_gemma":[0.0004310738,0.00006582577,0.5560976,0.0002235676,0.0001048211,0.0001699511,0.002133574,0.3888111,0.036746,0.004331887,0.01038105,0.0005036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067366,0.0006041509,0.07990365,0.01116697,0.0001078325,0.0003254916,0.00005855544,0.00005459919,0.001042107],"genre_scores_gemma":[0.9477116,0.0008651188,0.04961727,0.0005449757,0.0001088233,0.00001752233,0.00002196286,0.00002174535,0.001091014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112682,"threshold_uncertainty_score":0.9998779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941645130990551,"score_gpt":0.3066117180730688,"score_spread":0.2571952667631632,"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."}}