{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002319588,0.0007840617,0.0005688478,0.001766919,0.0003515472,0.002314492,0.0018481,0.002398012,0.02206144],"category_scores_gemma":[0.003876366,0.0006318938,0.000472107,0.0008586845,0.001024081,0.001927971,0.002851108,0.002148479,0.01013798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256773,"about_ca_system_score_gemma":0.0006543763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009009475,"about_ca_topic_score_gemma":0.001127324,"domain_scores_codex":[0.9985256,0.0003521184,0.00005364831,0.0003223759,0.0006416256,0.0001046581],"domain_scores_gemma":[0.9984031,0.0007235201,0.0001445516,0.0002148499,0.0002623785,0.0002514371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004820198,0.000133151,0.003441829,0.001107163,0.00004743733,0.0008947788,0.0003536555,0.0007431263,0.02798911,0.007304978,0.05802047,0.8994824],"study_design_scores_gemma":[0.0002214589,0.001293478,0.007896788,0.001849194,0.0002131579,0.02750541,0.0002211708,0.00936708,0.04371263,0.00749212,0.8998764,0.0003509753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03047851,0.206484,0.5613723,0.0125867,0.007002006,0.001061226,0.001624105,0.0187637,0.1606275],"genre_scores_gemma":[0.2316643,0.07169449,0.583753,0.0225853,0.01215295,0.001021175,0.002579386,0.003992795,0.0705567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02206144,"threshold_uncertainty_score":0.07380289,"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."}}