{"id":"W6931570866","doi":"10.5683/sp3/smmdpx","title":"Données relatives au mémoire Modélisation numérique du système aquifère régional appalachien du bassin versant de la rivière Saint-François, Québec, Canada","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chine; Agriculture; Drainage basin","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"],"consensus_categories":[],"category_scores_codex":[0.0006147975,0.0006969814,0.0005318951,0.0001277345,0.0004916163,0.0001170988,0.0006611833,0.0009508689,0.00003572231],"category_scores_gemma":[0.0008912414,0.000702479,0.0002475547,0.0002134615,0.00048688,0.00001984453,0.0003174684,0.0004360895,0.00003087159],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934106,"about_ca_system_score_gemma":0.009335235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880517,"about_ca_topic_score_gemma":0.99569,"domain_scores_codex":[0.99663,0.000637083,0.0006207995,0.0008571451,0.0005229022,0.0007320928],"domain_scores_gemma":[0.9982115,0.0003024509,0.0003877605,0.0005934223,0.0001744082,0.0003304557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002222227,0.0001032324,0.02439135,0.0003764954,0.0003728162,0.0001778138,0.0004567061,0.000742575,0.0004447376,0.0007733345,0.9716502,0.0002885509],"study_design_scores_gemma":[0.000819445,0.0001064882,0.0729924,0.0003271564,0.0000947491,0.00006655207,0.0008842025,0.0005251604,0.0002026781,0.000221621,0.9229717,0.0007878994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04018369,0.003541124,0.0007396564,0.01480041,0.0008669115,0.0007961768,0.9365708,0.0000648808,0.002436394],"genre_scores_gemma":[0.1103384,0.003548355,0.0001421202,0.0003785598,0.0009387885,0.0001324962,0.8836075,0.00009089757,0.0008228585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07015473,"threshold_uncertainty_score":0.9995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006251741209568839,"score_gpt":0.207372835861477,"score_spread":0.2011210946519081,"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."}}