{"id":"W2033633200","doi":"10.1029/2008jd011260","title":"On the variation of ice pellet characteristics","year":2009,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precipitation; Particle (ecology); Particle size; Atmospheric sciences; Range (aeronautics); Pellet; Environmental science; Materials science; Geology; Physics; Meteorology; Composite material; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002392296,0.0001529397,0.0001583332,0.0007675732,0.000213452,0.0004392666,0.0002157895,0.0001630077,0.0007345596],"category_scores_gemma":[0.0009165586,0.0001106882,0.0001225432,0.0005637737,0.0002045087,0.000206451,0.0001728517,0.0001377594,0.0002142717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394559,"about_ca_system_score_gemma":0.0001805759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03277239,"about_ca_topic_score_gemma":0.06780599,"domain_scores_codex":[0.9998795,0.00001320616,0.000005260867,0.00003786903,0.00004116859,0.00002302327],"domain_scores_gemma":[0.999458,0.0001464959,0.000134641,0.00004596425,0.0001619129,0.0000529443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002233095,0.00003552491,0.9415274,0.00002720192,0.00008127448,0.0001997293,0.0002935234,0.0006224982,0.04280887,0.00005101003,0.0002595854,0.01387017],"study_design_scores_gemma":[4.580499e-7,0.000007565176,0.9992537,4.851582e-7,0.000002248674,0.00002644639,0.00002331443,0.0001447381,0.0004508748,0.000002965483,0.00008594459,0.000001209094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986135,0.00009279515,0.0003104869,0.000005967586,0.000001652915,0.000005952178,0.0002575269,0.000009529057,0.0007026447],"genre_scores_gemma":[0.9988574,0.00007296792,0.0002097829,0.000005523064,0.000002748493,0.000004287029,0.0004738076,0.000007338409,0.0003661102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03277239,"threshold_uncertainty_score":0.06516325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676827897715677,"score_gpt":0.2982625000313028,"score_spread":0.2514942210541461,"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."}}