{"id":"W3047474099","doi":"10.1016/j.jcmg.2020.05.019","title":"Making a Splash","year":2020,"lang":"en","type":"letter","venue":"JACC. Cardiovascular imaging","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Dalhousie University","funders":"","keywords":"Splash; Environmental science; Geography; Meteorology","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":[0.003630387,0.0009760304,0.0007419894,0.0008582093,0.00984384,0.006841552,0.001821295,0.04650607,0.03271699],"category_scores_gemma":[0.02586485,0.0007169771,0.001264325,0.0003342968,0.004188286,0.00636256,0.003477489,0.04562205,0.02257511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003195624,"about_ca_system_score_gemma":0.005236893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009380428,"about_ca_topic_score_gemma":0.01881015,"domain_scores_codex":[0.9956439,0.0008459985,0.0002536766,0.000703997,0.001674623,0.0008779728],"domain_scores_gemma":[0.9926898,0.002214576,0.00022611,0.0003368138,0.001545498,0.002987124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001370847,0.0000127426,0.0001368447,0.000008727988,0.000004352674,0.0003608131,0.00005253099,0.00001322109,0.0000752901,0.002889282,0.9920313,0.004401243],"study_design_scores_gemma":[0.00002571055,0.00003137542,0.0003285681,0.00008870819,0.000006770406,0.0006406569,0.000416611,0.0001315231,0.0001139192,0.00898231,0.9892106,0.00002334976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002885383,0.001537594,0.000196517,0.9516273,0.02746558,0.00001461938,0.00004239129,0.00006076819,0.01876662],"genre_scores_gemma":[0.00358677,0.0008328489,0.000236279,0.9429036,0.01699699,0.00002492786,0.00003435641,0.000049139,0.03533517],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04650607,"threshold_uncertainty_score":0.1094492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06038796497794217,"score_gpt":0.327468389635485,"score_spread":0.2670804246575428,"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."}}