{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006926022,0.0001294602,0.0002892991,6.747482e-7,0.0002279238,0.0001346916,0.0003218106,0.00007417584,0.008453826],"category_scores_gemma":[0.0001043311,0.0001713262,0.00006319482,0.0002723654,0.0000781145,0.0001761192,0.00003622296,0.0001260274,0.00001446152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009842239,"about_ca_system_score_gemma":0.0002254491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888246,"about_ca_topic_score_gemma":0.9980299,"domain_scores_codex":[0.9985507,0.00004999249,0.0003633444,0.000383055,0.0003874081,0.000265533],"domain_scores_gemma":[0.9990721,0.0001976697,0.0001864044,0.0002509402,0.0001077887,0.000185045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001150559,0.0000112808,0.7815657,0.00001662174,0.00008796155,0.000005831735,0.0002545037,0.0009630535,0.000004945889,0.000002321483,0.2024711,0.01460523],"study_design_scores_gemma":[0.0003288738,0.00004608741,0.8736187,0.00002392573,0.00005948471,8.877319e-7,0.000982062,0.0336098,0.000005470185,0.00004281196,0.09110587,0.000176041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908912,0.002294194,0.00006685768,0.0008320942,0.0002702014,0.0002262073,0.004048481,0.00004182513,0.001328994],"genre_scores_gemma":[0.9951082,0.0001399372,0.001021006,0.001097113,0.0001894334,6.106583e-7,0.0009429417,0.000009751293,0.001491012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1113652,"threshold_uncertainty_score":0.9924526,"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."}}