{"id":"W3111493149","doi":"10.1080/07055900.2020.1845116","title":"Classification of Clustered Snow Off Dates Over British Columbia, Canada, from Mean Sea Level Pressure","year":2020,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Ministry of Forests","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowmelt; Climatology; Snow; Environmental science; Teleconnection; Principal component analysis; Atmosphere (unit); Precipitation; Meteorology; Geography; Geology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001422791,0.0004217668,0.0002002247,0.001956957,0.001062572,0.0009070293,0.0004749369,0.0002306885,0.001416906],"category_scores_gemma":[0.0007156695,0.0001549768,0.0002152649,0.003365425,0.0003055516,0.0001664982,0.0003974125,0.0002389567,0.0002720171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007932089,"about_ca_system_score_gemma":0.00979873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904643,"about_ca_topic_score_gemma":0.9964532,"domain_scores_codex":[0.9998621,0.000005511741,0.000008550996,0.00003275094,0.00004260706,0.00004849798],"domain_scores_gemma":[0.9994369,0.00003972089,0.00005223224,0.00002067799,0.000344157,0.0001063314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000295836,0.0000642817,0.9411424,0.00007564598,0.0001058824,0.0002724007,0.0006651551,0.008515426,0.004175023,0.0002588335,0.005461686,0.03896746],"study_design_scores_gemma":[0.000008246997,0.000009327228,0.9875304,0.00002078751,0.00001873655,0.00002438018,0.0009228156,0.009337161,0.0003959901,0.0000424563,0.001677728,0.00001195953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895335,0.0001308825,0.000205951,0.00004400711,0.000005311347,0.00002311379,0.008142887,0.00004271145,0.001871612],"genre_scores_gemma":[0.9851618,0.000161482,0.0006978508,0.00001318723,0.000002221614,0.00001541647,0.01194422,0.00001254831,0.001991194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00953567,"threshold_uncertainty_score":0.05755156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028061072444154,"score_gpt":0.200494988267876,"score_spread":0.172433915823722,"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."}}