{"id":"W2470685848","doi":"","title":"Rain-on-Snow and Ice Layer Formation Detection Using Passive Microwave Radiometry: An Arctic Perspective","year":2015,"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":"Université de Sherbrooke","funders":"","keywords":"Radiometry; Snow; Arctic; Environmental science; Remote sensing; Perspective (graphical); Microwave; Climatology; Snow cover; Meteorology; Atmospheric sciences; Geology; Geography; Oceanography; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680549,0.0006776226,0.000531979,0.001094781,0.0003462303,0.002742446,0.0004248289,0.0006128696,0.0006137271],"category_scores_gemma":[0.001191584,0.0002508699,0.0002769228,0.001128613,0.0003240575,0.00148977,0.0004493998,0.0004926968,0.0002735529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299407,"about_ca_system_score_gemma":0.0008078996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03702109,"about_ca_topic_score_gemma":0.05863931,"domain_scores_codex":[0.9997858,0.00005687916,0.0000130236,0.00005838749,0.00004907168,0.00003675383],"domain_scores_gemma":[0.9993018,0.0001786886,0.00008888261,0.00003671257,0.0003355172,0.00005852168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006548245,0.0003033901,0.3702984,0.0006216328,0.0009990453,0.0003247776,0.0005107467,0.01816576,0.04628197,0.0157722,0.007661324,0.538406],"study_design_scores_gemma":[0.00007650752,0.0008875439,0.7024779,0.001268351,0.001596306,0.0007173929,0.003676905,0.1018574,0.02967264,0.01915708,0.138401,0.0002110356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.597428,0.1588967,0.1042085,0.009390974,0.001730788,0.00009847196,0.00507272,0.0005437804,0.1226301],"genre_scores_gemma":[0.9040132,0.04840882,0.03531615,0.0009727986,0.002034202,0.00002654505,0.001722132,0.0000949995,0.007411086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03702109,"threshold_uncertainty_score":0.0736112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067911854018211,"score_gpt":0.2582494599220713,"score_spread":0.2075703413818892,"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."}}