{"id":"W120126724","doi":"10.1007/978-3-540-73936-4_11","title":"On Predicting Maximum Snowfall","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Snow; Environmental science; Meteorology; Correlation coefficient; Precipitation; Atmospheric sciences; Climatology; Mathematics; Statistics; Geography; Geology","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":[0.0002443048,0.0008934333,0.0006058436,0.0003340772,0.0002074556,0.0006343866,0.0009933203,0.0006842955,0.008977224],"category_scores_gemma":[0.0009468154,0.0003404282,0.0004149412,0.0006854166,0.0003307951,0.001316589,0.0005708936,0.0008456716,0.002614179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984406,"about_ca_system_score_gemma":0.0003470218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006298357,"about_ca_topic_score_gemma":0.008111858,"domain_scores_codex":[0.999936,0.00001059406,0.000002553284,0.00001656043,0.00002914987,0.000005178985],"domain_scores_gemma":[0.9998037,0.000136945,0.000007564584,0.00001571723,0.00002990958,0.000006217955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003243732,0.00003610344,0.001263715,0.0001588656,0.00003227735,0.0001322875,0.00007062121,0.7044351,0.00156732,0.03965768,0.03384844,0.2187651],"study_design_scores_gemma":[0.00000569235,0.00002200803,0.001040312,0.00009608435,0.00001626132,0.0000669535,0.00002637164,0.8983909,0.001359581,0.0707249,0.02823235,0.00001863214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02671291,0.01078534,0.8009478,0.002147643,0.001684507,0.00005405989,0.001333092,0.002002009,0.1543327],"genre_scores_gemma":[0.4371554,0.02314003,0.2818196,0.0008850578,0.002140696,0.0002190864,0.003525968,0.001162104,0.2499519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008977224,"threshold_uncertainty_score":0.03003186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757838046667721,"score_gpt":0.2090868647771137,"score_spread":0.1715084843104365,"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."}}