{"id":"W2055486265","doi":"10.1080/02626667.2015.1022552","title":"Analyse multi-échelles de la variabilité spatiale de l’équivalent en eau de la neige (EEN) sur le territoire de l’Est du Canada","year":2015,"lang":"fr","type":"article","venue":"Hydrological Sciences Journal","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Geography; Forestry; Art","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007248512,0.0002590837,0.000348232,0.0000374205,0.001385061,0.0004223673,0.000797666,0.0002686084,0.001216376],"category_scores_gemma":[0.002589771,0.0001912073,0.0001519642,0.0005517138,0.001751195,0.0003200815,0.0001030467,0.0007087619,0.000009729462],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829201,"about_ca_system_score_gemma":0.005701952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8238594,"about_ca_topic_score_gemma":0.6843603,"domain_scores_codex":[0.9954159,0.00196104,0.0004629942,0.0003861338,0.0005956899,0.00117828],"domain_scores_gemma":[0.9961376,0.002374043,0.0002221973,0.0001430937,0.00008784812,0.001035271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002057958,0.0001595802,0.7546745,0.0000064825,0.00003621835,0.0003824829,0.001259456,0.2353343,0.00004468809,0.0001835378,0.004121895,0.003776246],"study_design_scores_gemma":[0.0004518131,0.000293918,0.5926309,0.00002222129,0.00005671619,0.001017967,0.001589043,0.340916,0.00001278492,0.002360746,0.06043685,0.0002110008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973498,0.007669396,0.003615015,0.01163602,0.0006049128,0.00009673608,0.00005409029,0.00002051607,0.002805306],"genre_scores_gemma":[0.9752669,0.00192161,0.02023643,0.001157129,0.000847676,0.000003006282,0.000004694081,0.000005010316,0.0005575234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620436,"threshold_uncertainty_score":0.9999348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373096663960727,"score_gpt":0.2471796426288472,"score_spread":0.2098699762327745,"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."}}