{"id":"W2142715643","doi":"10.1007/s00024-011-0349-4","title":"FTS (Fog To Snow) Conversion Process During the SNOW-V10 Project","year":2011,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snow; Environmental science; Winter storm; Nowcasting; Precipitation; Noon; Meteorology; Atmospheric sciences; Climatology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008468836,0.0001137882,0.0001195423,0.00002404921,0.0003159343,0.00003423135,0.0001536698,0.00004259632,0.0003709027],"category_scores_gemma":[0.000009392877,0.00006745425,0.00002517212,0.0002143188,0.00005629724,0.00007215854,0.00002028123,0.0001116943,0.0002026381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001308945,"about_ca_system_score_gemma":0.00001446626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238145,"about_ca_topic_score_gemma":0.00004820782,"domain_scores_codex":[0.9992898,0.00001695538,0.0001072905,0.0002218655,0.0001387895,0.0002252765],"domain_scores_gemma":[0.9996389,0.00008081101,0.00003816312,0.0001370666,0.00002054383,0.00008456601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00277676,0.0007082239,0.5194408,0.0008059484,0.0003713635,0.00004467499,0.09850062,0.01250091,0.004139273,0.02802314,0.003101154,0.3295871],"study_design_scores_gemma":[0.0006381632,0.0002767183,0.9529606,0.00001853595,0.00005347235,0.000003057706,0.001475914,0.001246202,0.002036928,0.03695505,0.003843141,0.0004922223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661246,0.00002741377,0.00005136006,0.00006034813,0.00005807238,0.0003627213,0.00001860149,0.00003435058,0.03326255],"genre_scores_gemma":[0.9990657,0.00000875403,0.000124639,0.0004008782,0.0001393813,0.00000795892,0.0000242037,0.000002782722,0.0002257022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4335198,"threshold_uncertainty_score":0.4061125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382308349029772,"score_gpt":0.2145855867701742,"score_spread":0.1907625032798765,"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."}}