{"id":"W7144329657","doi":"10.70675/31d5f6cfz0ac5z4b4fzae57z301423a025a4","title":"Modélisation hydrogéologique des aquifères de Paris et impacts des aménagements du sous-sol sur les écoulements souterrains","year":2013,"lang":"","type":"dissertation","venue":"","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horst; Sugar industry; Nova scotia","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001895447,0.001204617,0.001184682,0.0006196607,0.001569235,0.0008007921,0.0008740391,0.001334756,0.0152053],"category_scores_gemma":[0.000443599,0.001030637,0.0004265635,0.0003289724,0.0006610059,0.001654777,0.00009013167,0.0007416724,0.001377315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173529,"about_ca_system_score_gemma":0.0005453256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2265351,"about_ca_topic_score_gemma":0.2629856,"domain_scores_codex":[0.9928309,0.001468759,0.0016701,0.001299971,0.0007721712,0.001958114],"domain_scores_gemma":[0.996548,0.0005036437,0.001168954,0.0006133173,0.0004601403,0.000705928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001785103,0.0002626445,0.9411013,0.0009618172,0.0006833823,0.00005054131,0.0216353,0.01753586,0.0007955133,0.0002840136,0.002538786,0.01397235],"study_design_scores_gemma":[0.00136861,0.001223729,0.8638274,0.0005969044,0.0003254313,0.00007140574,0.01131064,0.1126664,0.0007720777,0.004233622,0.002118374,0.001485398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769644,0.00227122,0.004078013,0.0001422589,0.001037962,0.001756266,0.0002390514,0.0001877588,0.01332307],"genre_scores_gemma":[0.9775877,0.006723398,0.001470158,0.0005364836,0.0003185117,0.0001004364,0.004934244,0.0000577977,0.008271268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09513054,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990983406164494,"score_gpt":0.2528899620127484,"score_spread":0.2229801279511035,"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."}}