{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.004726232,0.000867901,0.0006753774,0.0006206859,0.001708989,0.001039978,0.001707357,0.0007182214,0.0006690266],"category_scores_gemma":[0.007298924,0.0008383254,0.0002317192,0.0009767817,0.002714139,0.0001032134,0.000490359,0.00123138,0.00001798341],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975554,"about_ca_system_score_gemma":0.06534072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985311,"about_ca_topic_score_gemma":0.9999251,"domain_scores_codex":[0.9917821,0.0007836433,0.001071421,0.0014893,0.003218384,0.00165519],"domain_scores_gemma":[0.9951637,0.0008318795,0.000559112,0.0007697045,0.002028793,0.0006468449],"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":[0.0002604917,0.0001513963,0.002093403,0.003251759,0.00101762,0.0001690863,0.002136869,0.01200877,0.004416186,0.01205506,0.9563228,0.006116544],"study_design_scores_gemma":[0.0006416384,0.0002060028,0.0007085064,0.0007842603,0.00007589436,0.00007425034,0.001679049,0.007513018,0.003142479,0.0003988547,0.9839204,0.0008556698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3687915,0.04337304,0.01197621,0.3881102,0.01873217,0.01150139,0.03272432,0.0003534138,0.1244379],"genre_scores_gemma":[0.5692433,0.0004999117,0.005372501,0.0003746314,0.002969201,0.0005198212,0.008640761,0.0003319583,0.4120479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3877355,"threshold_uncertainty_score":0.9999999,"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."}}