{"id":"W2886837614","doi":"","title":"Development of Snow Cover Indicators for Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow cover; Snow; Cover (algebra); Geography; Physical geography; Meteorology; Engineering","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":[0.001651925,0.0007434333,0.0003932733,0.005111704,0.001488563,0.001421953,0.001109477,0.0002707103,0.002106726],"category_scores_gemma":[0.003143773,0.0002663171,0.0005663332,0.005723781,0.000171124,0.0007604405,0.0008101758,0.0006741928,0.0005716357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03159597,"about_ca_system_score_gemma":0.06932983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992648,"about_ca_topic_score_gemma":0.9939959,"domain_scores_codex":[0.9990807,0.00005411349,0.00004977947,0.00009772071,0.0004924873,0.0002252882],"domain_scores_gemma":[0.9915036,0.00009883672,0.0002717426,0.0000859294,0.007429088,0.0006108525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005485364,0.0002743092,0.6641898,0.000457118,0.0002684974,0.0001853714,0.0009127632,0.01545909,0.004057362,0.006248143,0.08316129,0.2242377],"study_design_scores_gemma":[0.0000592699,0.0001034068,0.9131217,0.0001861805,0.0001188883,0.00004134897,0.001046453,0.02339987,0.004271991,0.0004562557,0.05713718,0.00005760474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6673988,0.002220395,0.02082688,0.002351067,0.0002116075,0.00168736,0.2416443,0.001758417,0.06190102],"genre_scores_gemma":[0.8187678,0.001472171,0.04531039,0.0002022323,0.00002245757,0.0005171692,0.1163571,0.0002212605,0.01712953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03159597,"threshold_uncertainty_score":0.2292458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365437255141988,"score_gpt":0.214161736627839,"score_spread":0.2005073640764191,"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."}}