{"id":"W6987342432","doi":"","title":"Spatialisation de l’hétérogénéité d’un aquifère par l’analyse des vitesses de transfert de pression lors d’un essai de pompage","year":2022,"lang":"fr","type":"other","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Coefficient of friction; Statistical analysis","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":[0.0005570355,0.0005227948,0.0006429857,0.000778941,0.0002653666,0.001633951,0.0006954826,0.0007726895,0.002857238],"category_scores_gemma":[0.001642461,0.0004000198,0.0007492815,0.0009740652,0.0007456302,0.001947917,0.000670384,0.0006184664,0.0004628934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006632212,"about_ca_system_score_gemma":0.0006925879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008179097,"about_ca_topic_score_gemma":0.007145508,"domain_scores_codex":[0.9996623,0.00004499749,0.00001798281,0.0001293513,0.0001147647,0.00003058617],"domain_scores_gemma":[0.9993908,0.0003143233,0.0000812048,0.00009482564,0.0001071681,0.00001148292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009619296,0.00005336959,0.02131206,0.0004100041,0.00008980469,0.0003358762,0.0007376693,0.8124756,0.06416526,0.01480031,0.0005846462,0.08493926],"study_design_scores_gemma":[0.00000814664,0.00006959574,0.01536692,0.00004559927,0.00003551505,0.0002072678,0.0003437971,0.947529,0.02127927,0.009776337,0.005281378,0.00005717991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.178543,0.0006179489,0.8123356,0.0002762542,0.000048994,0.00004897274,0.0005595592,0.0008352751,0.006734526],"genre_scores_gemma":[0.9377175,0.0007910855,0.05502762,0.00005250765,0.00002486164,0.00008369488,0.0003123927,0.0001814727,0.005808848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008179097,"threshold_uncertainty_score":0.01626301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009086220239787,"score_gpt":0.1934651638653316,"score_spread":0.1833743016629337,"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."}}