{"id":"W1994948803","doi":"10.1115/sbc2007-175398","title":"Gel Based Mechanical Phantom of Stenotic Coronary Artery","year":2007,"lang":"en","type":"article","venue":"ASME 2007 Summer Bioengineering Conference","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University","funders":"","keywords":"Intravascular ultrasound; Imaging phantom; Modality (human–computer interaction); Biomedical engineering; Coronary arteries; Computer science; Image resolution; Artery; Radiology; Computer vision; Artificial intelligence; Medicine; Cardiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003748468,0.0002203594,0.0004089203,0.0002059221,0.00002494801,0.00001419914,0.0001134111,0.0001197574,0.0001609559],"category_scores_gemma":[0.0002395605,0.0002162499,0.0001516775,0.0002148198,0.00008425135,0.00005482002,0.00003869298,0.0002475136,0.00005866515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362683,"about_ca_system_score_gemma":0.0001528279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336578,"about_ca_topic_score_gemma":0.000003612977,"domain_scores_codex":[0.9985443,0.00001344716,0.0003869287,0.0002732462,0.0003386979,0.0004433998],"domain_scores_gemma":[0.9987336,0.0003339605,0.00006501516,0.0004025852,0.0002144669,0.0002503738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001517006,0.002052263,0.4598788,0.001919937,0.001087854,0.004116464,0.0004895236,0.00191275,0.4443125,0.009538271,0.01009818,0.06307649],"study_design_scores_gemma":[0.006281603,0.0009373113,0.7344404,0.001403773,0.0007656657,0.0005730935,0.0002888979,0.05663103,0.190277,0.0001093309,0.007166845,0.001124979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6087044,0.0009187881,0.3838876,0.0004422172,0.001278621,0.0004172001,0.00004618763,0.0002970125,0.004007918],"genre_scores_gemma":[0.9929247,0.00002432154,0.006328139,0.0003527035,0.0001568438,0.000004645006,0.00003773629,0.00003513129,0.000135766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3842203,"threshold_uncertainty_score":0.8818417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698243522708699,"score_gpt":0.2750179006219831,"score_spread":0.2480354653948961,"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."}}