{"id":"W3112100579","doi":"","title":"Validation of Snow Cover Information Derived From AMSR-E Data Over Canadian Regions","year":2003,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","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); Environmental science; Remote sensing; Meteorology; Climatology; Physical geography; Geography; Geology; 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":[0.001631876,0.0007912864,0.0004049948,0.0024247,0.00205079,0.001467168,0.001350441,0.0005036771,0.0009699903],"category_scores_gemma":[0.004344576,0.0003055324,0.0005189765,0.003403138,0.0005781438,0.0009467089,0.0005669238,0.0003898199,0.0004460427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091405,"about_ca_system_score_gemma":0.0151848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9808292,"about_ca_topic_score_gemma":0.9876496,"domain_scores_codex":[0.9989957,0.00007604357,0.00005657728,0.0002049209,0.00044171,0.00022504],"domain_scores_gemma":[0.996185,0.0004336227,0.0002742749,0.0002404739,0.002646935,0.0002196569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001324866,0.0005252692,0.767058,0.000364463,0.0005693708,0.0004477929,0.000918941,0.06582443,0.05270768,0.0007868534,0.005338256,0.1041341],"study_design_scores_gemma":[0.0001059964,0.00004697264,0.9392034,0.00007368587,0.0001379725,0.00005447554,0.0004591378,0.04281902,0.01189644,0.00008816068,0.005062659,0.00005211942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984347,0.0001834474,0.001075513,0.0000903321,0.00002007521,0.00005804545,0.01034332,0.0001339471,0.003748393],"genre_scores_gemma":[0.9813079,0.0001836577,0.002967927,0.00004649399,0.000008443148,0.00002935101,0.01459614,0.00003327742,0.0008268764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917076,"threshold_uncertainty_score":0.07918739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687248930142528,"score_gpt":0.2258879154889074,"score_spread":0.1890154261874821,"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."}}