{"id":"W2591696086","doi":"10.1016/j.jcmg.2017.01.010","title":"Outcomes-Based CV Imaging Research Endpoints and Trial Design","year":2017,"lang":"en","type":"review","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Modalities; Medicine; Medical physics; Intensive care medicine; Medical imaging; Randomized controlled trial; Clinical trial; Quality of life (healthcare); Radiology; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.01140277,0.001105397,0.006346213,0.001406822,0.0008284265,0.0009157995,0.0006292574,0.000252049,0.00002660403],"category_scores_gemma":[0.007976071,0.0009390594,0.006764058,0.0004475644,0.0006409811,0.0002727167,0.0005491766,0.002253779,0.0002126199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841446,"about_ca_system_score_gemma":0.001847694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002119481,"about_ca_topic_score_gemma":5.678706e-7,"domain_scores_codex":[0.9912331,0.002101144,0.001144011,0.001750753,0.002329095,0.001441937],"domain_scores_gemma":[0.9914364,0.002674708,0.000384952,0.00426793,0.0006164481,0.0006196173],"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":[0.0003949487,0.00008179071,0.0006614213,0.006791444,0.00259128,0.003038414,0.00002482387,0.000006668581,2.179269e-7,0.000007026109,0.004747763,0.9816542],"study_design_scores_gemma":[0.0229713,0.00005485474,0.0002687444,0.01412698,0.01138796,0.001186985,0.00003168353,0.0001695048,0.000003565932,0.00003378499,0.9489002,0.0008643955],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004066146,0.9828661,0.005537383,0.0003063724,0.001711186,0.004432943,0.00005055836,0.0002554029,0.004836],"genre_scores_gemma":[0.0003289992,0.992902,0.003082793,0.0001765047,0.001979589,0.0005873975,0.0001731373,0.0003817479,0.0003877732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9807898,"threshold_uncertainty_score":0.999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3054796955048044,"score_gpt":0.4770563333514853,"score_spread":0.1715766378466809,"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."}}