{"id":"W7017198421","doi":"","title":"Analyse des données de la mission Gravity Recovery And Climate Experiment (GRACE) sur des bassins versants choisis au Canada pour la caractérisation des eaux souterraines.","year":2016,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Climate change; Vegetation (pathology); Precipitation","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":[0.001330975,0.0004872079,0.0004544114,0.0009589042,0.0009421086,0.0008136911,0.0005772848,0.0004353568,0.001052215],"category_scores_gemma":[0.001925147,0.0001719602,0.0006056513,0.002232224,0.0004072122,0.0003014854,0.0003523203,0.000535537,0.0002437231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005459049,"about_ca_system_score_gemma":0.007380424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9283621,"about_ca_topic_score_gemma":0.9653397,"domain_scores_codex":[0.9992197,0.0000764537,0.00003201742,0.0001604299,0.0003939838,0.000117316],"domain_scores_gemma":[0.9972939,0.0003709738,0.0002238429,0.0001938165,0.001737125,0.0001802586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001493522,0.0003157816,0.8601949,0.0003029038,0.0005953556,0.0003951786,0.00158749,0.02138301,0.05458619,0.0008550792,0.0107233,0.04756735],"study_design_scores_gemma":[0.00003899136,0.00007048763,0.9756616,0.00001719539,0.00008978858,0.0000295036,0.0004865767,0.005957579,0.005232859,0.00008989166,0.01229091,0.00003438761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617163,0.0002943601,0.002811683,0.0002125281,0.00003469387,0.0001174894,0.0305055,0.000330826,0.003976605],"genre_scores_gemma":[0.945911,0.0002642651,0.008727408,0.0001442776,0.00001391819,0.0001701701,0.03972982,0.0000971795,0.004942136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07163787,"threshold_uncertainty_score":0.1441194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683383281971211,"score_gpt":0.2254470263915089,"score_spread":0.2086131935717968,"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."}}