{"id":"W2097553621","doi":"10.1002/2015ea000102","title":"Radar signatures of snowflake riming: A modeling study","year":2015,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Snowflake; Radar; Homogeneous; Precipitation; Meteorology; Physics; Computer science; Statistical physics; Telecommunications; Snow","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":[0.0005767311,0.0000796867,0.00010289,0.000002841435,0.0001479567,0.00003341107,0.0002181749,0.00002134558,0.00008198575],"category_scores_gemma":[0.00007049222,0.00006156287,0.00001483168,0.0003656136,0.0003912802,0.0002193574,0.0001986086,0.00007550904,0.00001916183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330229,"about_ca_system_score_gemma":0.00004517653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004437925,"about_ca_topic_score_gemma":0.0001702811,"domain_scores_codex":[0.9988624,0.00001757255,0.00009957563,0.0002750828,0.0005211396,0.0002242474],"domain_scores_gemma":[0.9995476,0.000009359134,0.00004158018,0.0001753202,0.00001625093,0.0002099124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001478671,0.000818259,0.6639501,0.00001633963,0.000015898,0.00004500645,0.04109075,0.1283937,0.12763,0.001645718,0.00169664,0.03454967],"study_design_scores_gemma":[0.00273382,0.00250367,0.3277648,0.00004062815,0.00004839526,0.00001795057,0.03670594,0.61215,0.009166772,0.001923382,0.005893531,0.001051115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905638,0.0001196416,0.001590503,0.0001147362,0.00007136064,0.000124368,4.493121e-7,0.00001396354,0.007401172],"genre_scores_gemma":[0.9947599,0.000005016486,0.004696853,0.00004328651,0.00001432908,0.000001579016,7.637766e-8,0.000003394979,0.0004755972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4837563,"threshold_uncertainty_score":0.2510461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016975777682011,"score_gpt":0.2392146966099608,"score_spread":0.2190449388331406,"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."}}