{"id":"W7055988550","doi":"","title":"3D Radiology/Pathology Correlates in Carotid Atheroma (Canadian Atherosclerosis Imaging Network)","year":2011,"lang":"en","type":"other","venue":"UCL Discovery (University College London)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atheroma; Carotid arteries; Ultrasound imaging; Medical imaging; Arteriosclerosis; Computed tomography; Carotid artery disease; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546354,0.0006534898,0.0003798688,0.003636178,0.001847736,0.001737694,0.001652419,0.0006828008,0.01197622],"category_scores_gemma":[0.007585073,0.0004584748,0.000559146,0.005133171,0.0005247308,0.0006206175,0.001452214,0.0008260384,0.002496812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004773077,"about_ca_system_score_gemma":0.01208621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.807257,"about_ca_topic_score_gemma":0.9117415,"domain_scores_codex":[0.9990492,0.00005773611,0.00005676071,0.000116748,0.0005511543,0.0001683008],"domain_scores_gemma":[0.9963769,0.0002878968,0.0004951276,0.0002921432,0.002096259,0.000451537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005373739,0.0001540825,0.8412856,0.0002078844,0.0001427063,0.0005498197,0.0003177385,0.0009001637,0.000499098,0.001549199,0.1055601,0.0482962],"study_design_scores_gemma":[0.00001683216,0.00001293722,0.9901149,0.00004927519,0.00006385806,0.0003740016,0.0001281636,0.0003453774,0.0001703866,0.000376861,0.008328161,0.00001929917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150763,0.004549306,0.002099214,0.002744502,0.0002516439,0.0005941768,0.2482025,0.0004344977,0.1260478],"genre_scores_gemma":[0.8527556,0.002570895,0.006030244,0.00044272,0.0002439354,0.0002801311,0.09269411,0.000270556,0.04471188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.807257,"threshold_uncertainty_score":0.3877562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005608793560542589,"score_gpt":0.1789081637671272,"score_spread":0.1732993702065846,"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."}}