{"id":"W7070695660","doi":"","title":"Projet d'acquisition de connaissances sur les eaux souterraines en Estrie (PACES Estrie)- Portrait des ressources en eau souterraine en Estrie, Québec, Canada","year":2024,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Ministry of Foreign Affairs; Prospection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002760353,0.0003714154,0.0002320804,0.00119407,0.007431713,0.003482658,0.0009439133,0.0005920313,0.02002048],"category_scores_gemma":[0.002903909,0.0002485927,0.0003145639,0.002238413,0.001681187,0.0009098648,0.002461945,0.001489374,0.002202191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0364539,"about_ca_system_score_gemma":0.1506016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9724438,"about_ca_topic_score_gemma":0.9916677,"domain_scores_codex":[0.9983987,0.0002323503,0.00003248139,0.000152125,0.0006722671,0.0005120399],"domain_scores_gemma":[0.9917384,0.0002901001,0.0001492163,0.0002016358,0.004319577,0.003301169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004057348,0.0004731401,0.1258342,0.0007573249,0.00008195708,0.0009669497,0.04230653,0.00289643,0.005051621,0.03980056,0.4626458,0.3187798],"study_design_scores_gemma":[0.00003324331,0.0001202936,0.1974053,0.0003583508,0.00002573994,0.0001029151,0.02916261,0.0005518741,0.0009660415,0.0008094666,0.7704046,0.00005964772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4226128,0.00547856,0.007939499,0.02985288,0.0007024771,0.001285154,0.01608729,0.0005864403,0.5154549],"genre_scores_gemma":[0.4950249,0.003709391,0.01042547,0.002830187,0.00006498711,0.0004371264,0.008110803,0.0002179724,0.4791792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0364539,"threshold_uncertainty_score":0.2644928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914675281373786,"score_gpt":0.3045485062448532,"score_spread":0.2754017534311153,"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."}}