{"id":"W2994776268","doi":"","title":"Analysis of radar Doppler spectra shape—an insight into Cloud Microphysics","year":2007,"lang":"en","type":"article","venue":"33rd Conference on Radar Meteorology (6–10 August 2007)","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Doppler radar; Doppler effect; Meteorology; Remote sensing; Environmental science; Radar; Atmospheric sciences; Geology; Physics; Computer science; Astronomy; Telecommunications","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001380632,0.0003920635,0.000867474,0.00100394,0.0002220315,0.00006428611,0.0007019052,0.0002617603,0.03959741],"category_scores_gemma":[0.00008330222,0.0003445784,0.0003588758,0.001746968,0.0003716283,0.0003218381,0.00002234,0.0003610376,0.0004397404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246279,"about_ca_system_score_gemma":0.0001568449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879921,"about_ca_topic_score_gemma":0.008651853,"domain_scores_codex":[0.9967697,0.0003462435,0.0007847663,0.0007259059,0.0007204694,0.000652959],"domain_scores_gemma":[0.9979858,0.000300647,0.0004282343,0.0006467639,0.0003135961,0.000324937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003613047,0.001231372,0.5473892,0.0001081664,0.01077181,0.0002645769,0.006221727,0.002751403,0.07924267,0.02122591,0.006984497,0.3201956],"study_design_scores_gemma":[0.002347395,0.002390982,0.9160812,0.00003974319,0.005237012,0.00001200604,0.001227161,0.02557887,0.01684589,0.006709046,0.02172435,0.001806307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543989,0.0004319029,0.004943229,0.0003300758,0.0005500705,0.0002186658,0.0001129337,0.00009450458,0.03891973],"genre_scores_gemma":[0.9915558,0.0001150451,0.005797941,0.0007199611,0.0002623314,0.000001326399,0.0006562314,0.00001179143,0.000879545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368692,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978907137540097,"score_gpt":0.255552991406744,"score_spread":0.225763920031343,"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."}}