{"id":"W6969670619","doi":"10.5683/sp3/zngmkb","title":"Modèles numériques hydrogéologiques des îles de la Madeleine pour le Projet d'acquisition de connaissances sur les eaux souterraines (PACES)","year":2022,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Prospection; Water contamination; Fresh water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088221,0.001491448,0.0009678658,0.00178176,0.0005997604,0.001196132,0.001792508,0.001514726,0.005630853],"category_scores_gemma":[0.002662165,0.0004585517,0.002132674,0.002453523,0.0004704951,0.0007874292,0.0008488137,0.001730109,0.008701026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620481,"about_ca_system_score_gemma":0.00202483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0850208,"about_ca_topic_score_gemma":0.1445601,"domain_scores_codex":[0.9992618,0.0001128394,0.00006009907,0.0002451903,0.0001783238,0.0001416361],"domain_scores_gemma":[0.9989447,0.0002443838,0.00007078944,0.0002472058,0.0003951384,0.00009792925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007555588,0.0006249342,0.04522987,0.002067265,0.0003928549,0.0003772345,0.0004863279,0.06229204,0.005197463,0.002053868,0.817136,0.06338646],"study_design_scores_gemma":[0.0008480421,0.0002676516,0.1834498,0.000615251,0.0001864154,0.0003288986,0.001380639,0.08734062,0.00729459,0.003499564,0.7145186,0.0002698417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03202501,0.0003651775,0.002445855,0.0004282627,0.0001861889,0.0001044489,0.9587602,0.002594939,0.003090005],"genre_scores_gemma":[0.02254896,0.000126129,0.004696069,0.00006753903,0.00002078263,0.0002266281,0.9700574,0.0001075987,0.002148914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9149792,"threshold_uncertainty_score":0.1690519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002460465596979,"score_gpt":0.3521580332666528,"score_spread":0.2519119867069549,"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."}}