{"id":"W1524870166","doi":"","title":"Analyse des apports horizon 2050 pour les bassins Churchill Falls, Manic-5 et Caniapiscau","year":2007,"lang":"fr","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geology; Humanities; Art; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005006419,0.002357085,0.001951818,0.00170989,0.002037862,0.0003422321,0.00411388,0.004711197,0.001349131],"category_scores_gemma":[0.002780349,0.002355044,0.0008422303,0.00426653,0.00760993,0.001110379,0.004905414,0.004897162,0.001433536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003031877,"about_ca_system_score_gemma":0.0004029312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006017866,"about_ca_topic_score_gemma":0.04647384,"domain_scores_codex":[0.9873044,0.0004884559,0.001760429,0.003247674,0.001236895,0.005962115],"domain_scores_gemma":[0.9941487,0.0007113725,0.0009871587,0.0032437,0.0001800046,0.0007290805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006242943,0.003149195,0.687581,0.0006421577,0.001550595,0.010888,0.002555999,0.0339277,0.02404058,0.00997844,0.1102514,0.1148106],"study_design_scores_gemma":[0.005541739,0.005433253,0.3860722,0.001063939,0.002251071,0.001839195,0.07493627,0.01041631,0.07185653,0.03224676,0.4005481,0.007794578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089018,0.009213828,0.09782133,0.05471608,0.001110528,0.003010839,0.0003109334,0.008038721,0.01687592],"genre_scores_gemma":[0.951895,0.006423835,0.01766535,0.0021737,0.0002463666,0.000401087,0.0001067332,0.0003155831,0.02077234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3015087,"threshold_uncertainty_score":0.9995638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773543427157777,"score_gpt":0.2664427667156469,"score_spread":0.2487073324440691,"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."}}