{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003711276,0.000646945,0.0005359575,0.003267193,0.001011908,0.002460037,0.0005551848,0.0006429532,0.02044749],"category_scores_gemma":[0.009043219,0.0005389343,0.0008003094,0.005718449,0.0006421972,0.001367372,0.001243134,0.0009045234,0.006379806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486733,"about_ca_system_score_gemma":0.003396115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06201956,"about_ca_topic_score_gemma":0.1450927,"domain_scores_codex":[0.9964991,0.0003354725,0.0003087285,0.0004925794,0.002183943,0.0001801464],"domain_scores_gemma":[0.9913588,0.003344612,0.000552164,0.00086847,0.003603677,0.0002724034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001521078,0.0002849347,0.150051,0.009789074,0.0003848952,0.00317924,0.02875273,0.02213801,0.09570637,0.008649462,0.09935272,0.5801905],"study_design_scores_gemma":[0.00006224024,0.0002116974,0.2312111,0.0009018312,0.0001790705,0.0007438381,0.007861914,0.003376822,0.025037,0.001972048,0.7282516,0.0001907721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4301217,0.004088642,0.07883265,0.002148582,0.0006093619,0.0008856301,0.2599192,0.008462097,0.2149321],"genre_scores_gemma":[0.5404155,0.00414403,0.1477209,0.0004795641,0.0001039666,0.00101881,0.1684898,0.004034964,0.1335926],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9379804,"threshold_uncertainty_score":0.1233171,"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."}}