{"id":"W2317788471","doi":"10.5603/cj.2014.0009","title":"Generation iUltrasound: Bedside diagnostic imaging with Hand-Held Cardiac Ultrasound","year":2014,"lang":"en","type":"article","venue":"Cardiology Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Cardiology; Cardiac imaging; Internal medicine; Ultrasound; Cardiac Ultrasound; Ultrasound imaging; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113538,0.0002479902,0.0006854209,0.0001149997,0.0005108445,0.0001200257,0.0001685055,0.0001669838,0.0001088838],"category_scores_gemma":[0.004518593,0.0001853407,0.0002992684,0.000179371,0.0005448257,0.0001425738,0.00002153012,0.0008974129,0.0001415795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253699,"about_ca_system_score_gemma":0.0001729453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007845335,"about_ca_topic_score_gemma":0.000003713513,"domain_scores_codex":[0.9979727,0.0003074709,0.0005402971,0.000405116,0.0003063567,0.0004680305],"domain_scores_gemma":[0.994207,0.004295934,0.0002180889,0.0005094343,0.0003863426,0.0003831717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006416294,0.00005734896,0.9094248,0.00001215811,0.0004283617,0.00005079589,0.0001164823,0.000367472,0.06807651,0.0007394373,0.01681235,0.003850129],"study_design_scores_gemma":[0.003333263,0.0009026122,0.8383871,0.0001337439,0.00155518,0.02513703,0.0002618585,0.0001932404,0.003924878,0.003114847,0.1224247,0.0006314513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902582,0.001019463,0.09854349,0.002393436,0.0009542999,0.0003837384,0.00001863588,0.00008500255,0.006343725],"genre_scores_gemma":[0.987408,0.000541962,0.004779476,0.001456821,0.005388017,0.00006107502,0.0001049221,0.0000470693,0.0002126347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1056124,"threshold_uncertainty_score":0.7557975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520488827875324,"score_gpt":0.3019941239136197,"score_spread":0.2767892356348665,"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."}}