{"id":"W7070653827","doi":"","title":"Potentiel hydrométéorologique du schéma de surface canadien CLASS","year":2012,"lang":"fr","type":"other","venue":"","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ice caps; ESPACE; Water equivalent","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":[0.0007754564,0.0008239446,0.0004581244,0.0007699284,0.0004066245,0.00152514,0.001391276,0.0005229912,0.01607358],"category_scores_gemma":[0.002257399,0.0005772389,0.001061581,0.001274055,0.0002333075,0.001074251,0.0005595933,0.0009260446,0.004146248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572623,"about_ca_system_score_gemma":0.001491568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07848265,"about_ca_topic_score_gemma":0.04817165,"domain_scores_codex":[0.9994004,0.0000679455,0.00003348861,0.0001805682,0.0002591752,0.00005847501],"domain_scores_gemma":[0.9989123,0.0001737778,0.00003743417,0.0003121882,0.0005287214,0.00003561127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001369812,0.0002822828,0.06500777,0.001088399,0.0004757739,0.0002876152,0.001081108,0.5381009,0.06229519,0.01605171,0.07520551,0.2387539],"study_design_scores_gemma":[0.0003146123,0.0001312206,0.02432259,0.0000929841,0.0001372218,0.0001285534,0.0002901637,0.6551353,0.03716954,0.004709618,0.2774298,0.000138457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2844656,0.0009434046,0.4034993,0.001153288,0.0006182864,0.001261865,0.1067219,0.09810067,0.1032358],"genre_scores_gemma":[0.6897678,0.0007182151,0.1848736,0.0003492442,0.0000634046,0.0009107708,0.08522642,0.009689845,0.02840077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9215174,"threshold_uncertainty_score":0.1560517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269257072806333,"score_gpt":0.2087359876345721,"score_spread":0.1960434169065087,"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."}}