{"id":"W6912999350","doi":"10.5683/sp3/rg0lle","title":"Données de géophysique acquises dans le cadre du Projet d'acquisition de connaissances sur les eaux souterraines (PACES) aux îles de la Madeleine","year":2022,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Vetting; Statistical analysis; Professional qualification","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.003644617,0.002193989,0.00203909,0.0009439618,0.002510642,0.001041799,0.002994658,0.001556594,0.003179339],"category_scores_gemma":[0.001540814,0.00242453,0.0008654778,0.001263001,0.004075661,0.00116106,0.001207981,0.001824132,0.00009367908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462798,"about_ca_system_score_gemma":0.004960817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5579004,"about_ca_topic_score_gemma":0.3008091,"domain_scores_codex":[0.9858338,0.006392579,0.001555026,0.002078622,0.00144063,0.002699314],"domain_scores_gemma":[0.993095,0.001559869,0.001706975,0.002122719,0.000671982,0.0008434882],"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":[0.0008737108,0.001679727,0.01212923,0.002728475,0.0009749126,0.001892932,0.005019968,0.002400702,0.01406016,0.009845681,0.9479164,0.0004780901],"study_design_scores_gemma":[0.002292424,0.0005196931,0.03612965,0.001277261,0.001226213,0.001412538,0.007667658,0.0007018549,0.004323591,0.002053469,0.9399462,0.002449452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03497455,0.00803345,0.0004954505,0.004166794,0.0003183907,0.001632693,0.9487311,0.0007776119,0.0008700006],"genre_scores_gemma":[0.0451875,0.006130218,0.0010325,0.0007980363,0.002770113,0.002041105,0.9407843,0.0007537197,0.0005025264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2570912,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668134194978259,"score_gpt":0.2701743234429816,"score_spread":0.243492981493199,"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."}}