{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004220089,0.0005440954,0.001563457,0.000178886,0.0001633338,0.0001517545,0.0004583866,0.000460132,0.000324347],"category_scores_gemma":[0.0007733761,0.000533581,0.00356511,0.0004709692,0.0001918212,0.0001064592,0.0002409533,0.004009523,0.00142168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350996,"about_ca_system_score_gemma":0.0002222564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002630929,"about_ca_topic_score_gemma":3.268327e-7,"domain_scores_codex":[0.9958996,0.0001555913,0.0007183545,0.001245373,0.001316366,0.0006647102],"domain_scores_gemma":[0.9968389,0.0004605876,0.0001865682,0.002127314,0.0002213592,0.0001652239],"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":[0.000008878441,0.00002029428,0.001290782,0.0004766185,0.002660427,0.002593881,0.00004454728,0.000006448846,0.00005675694,0.00001205079,0.9804823,0.01234702],"study_design_scores_gemma":[0.000782262,0.00001714964,0.0007698284,0.0003823873,0.003402403,0.001038788,0.00002087623,0.0001859529,0.00003743735,0.0003895428,0.9924598,0.0005135642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007870144,0.006947249,0.0147357,0.9461344,0.0007667392,0.00130784,0.00007836745,0.0007048792,0.02924612],"genre_scores_gemma":[0.006746988,0.0002618319,0.01258165,0.9601528,0.01807492,0.0002376183,0.0007718948,0.0003035189,0.0008687935],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02837733,"threshold_uncertainty_score":0.9997116,"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."}}