{"id":"W2278590402","doi":"","title":"Estimation de la superficie du couvert nival à partir d'une combinaison des données de télédétection MODIS et AMSR-E dans un contexte de prévision des crues printanières au Québec","year":2012,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology","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":[0.0004406644,0.0005450527,0.0003261092,0.001537097,0.0004924951,0.0009367338,0.0005169087,0.000362031,0.001303205],"category_scores_gemma":[0.001557331,0.0002613692,0.0003551605,0.001275495,0.0001968756,0.0005601579,0.0002876664,0.0003279755,0.0004543529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302385,"about_ca_system_score_gemma":0.002015507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8347553,"about_ca_topic_score_gemma":0.9052498,"domain_scores_codex":[0.9996669,0.00002353698,0.00001221019,0.0001054085,0.000156588,0.00003533858],"domain_scores_gemma":[0.9992738,0.0001543192,0.00006523304,0.00005607128,0.0004191077,0.00003141276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001418398,0.00007224403,0.7156299,0.0001189242,0.0001962211,0.0001364405,0.0004331208,0.06011538,0.03633254,0.0003980685,0.002210625,0.1842146],"study_design_scores_gemma":[0.00001134401,0.00001852053,0.7715831,0.00002577095,0.00002957039,0.00003775674,0.0001782425,0.2203175,0.005159513,0.0001155132,0.002493562,0.00002954936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521831,0.000515444,0.03765496,0.0001059321,0.00001233281,0.00005284989,0.004155631,0.001092939,0.004226812],"genre_scores_gemma":[0.9766576,0.0001393437,0.01942923,0.00001678032,0.000004370125,0.00002395402,0.002238477,0.00006015141,0.001430111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652447,"threshold_uncertainty_score":0.3324357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218116218342713,"score_gpt":0.2170121113979935,"score_spread":0.2048309492145663,"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."}}