{"id":"W3005506360","doi":"","title":"Assessment of dynamic probabilistic methods for mapping snow cover in Québec Canada","year":2012,"lang":"en","type":"article","venue":"EGUGA","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; Probabilistic logic; Cover (algebra); Geography; Remote sensing; Snow; Computer science; Environmental science; Meteorology; Artificial intelligence; 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":[0.004697052,0.0008003909,0.0004483224,0.001839542,0.00134269,0.001685785,0.001820315,0.000750007,0.001203523],"category_scores_gemma":[0.009384811,0.0004070501,0.0006087883,0.001827942,0.0005636233,0.0008831515,0.0006905714,0.0004621939,0.0001445625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01781859,"about_ca_system_score_gemma":0.009423395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9669242,"about_ca_topic_score_gemma":0.9646739,"domain_scores_codex":[0.9990327,0.0003839531,0.00004832747,0.0002211961,0.0001997125,0.0001140185],"domain_scores_gemma":[0.9938903,0.003798305,0.0003153138,0.0002916323,0.001538872,0.0001656143],"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":[0.000200566,0.00006688817,0.06204485,0.00006017332,0.0002231616,0.00003864809,0.0001215249,0.8977008,0.000725035,0.001850508,0.001295019,0.03567278],"study_design_scores_gemma":[0.00002278553,0.00002285549,0.02658763,0.00002032004,0.00003360066,0.00001137355,0.00009362472,0.9716334,0.0002609894,0.0004583673,0.0008308367,0.00002411366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942919,0.001705934,0.04176601,0.001194463,0.00004254204,0.0001657877,0.004927961,0.0005083157,0.006770136],"genre_scores_gemma":[0.9798681,0.0003594894,0.01533946,0.00007750994,0.00002018892,0.00006959299,0.002426871,0.00004463851,0.001794093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03307581,"threshold_uncertainty_score":0.1292835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051326443387864,"score_gpt":0.303305703682863,"score_spread":0.2727924392489843,"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."}}