{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003012976,0.0000534805,0.000119952,0.00001046537,0.00005446976,0.000004396544,0.00006275231,0.00001531849,0.0005009422],"category_scores_gemma":[0.0001407108,0.00004427804,0.00002197252,0.000127013,0.00001934067,0.00005191307,0.000006556593,0.00003694445,0.000001256802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004143291,"about_ca_system_score_gemma":0.0003332734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.85775,"about_ca_topic_score_gemma":0.9803212,"domain_scores_codex":[0.9994849,0.00003124591,0.0001527541,0.00007743775,0.00007183995,0.0001818449],"domain_scores_gemma":[0.9992842,0.0005264861,0.00004958094,0.00007912493,0.00002257187,0.00003802199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001629133,0.00001044767,0.9731465,0.00002842047,0.00001007641,1.368985e-7,0.0001365841,0.001761964,0.00001107751,0.0000936795,0.0008319105,0.0239676],"study_design_scores_gemma":[0.00009454152,0.00001435692,0.9249946,0.000008845755,0.000005438565,3.133325e-7,0.0002490746,0.01823808,0.000002201204,0.0000714169,0.05626709,0.00005397101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622131,0.002886251,0.02613499,0.001260357,0.001300426,0.0007188605,0.0001495475,0.00001562488,0.005320856],"genre_scores_gemma":[0.944194,0.00001117915,0.05529386,0.000139682,0.00002756288,0.000006533299,0.00002617571,0.000001599454,0.0002993802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225712,"threshold_uncertainty_score":0.5484965,"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."}}