{"id":"W4378172133","doi":"10.1007/s12265-023-10399-1","title":"Evaluation of a Rabbit Model of Vascular Stent Healing: Application of Optical Coherence Tomography","year":2023,"lang":"en","type":"article","venue":"Journal of Cardiovascular Translational Research","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stent; Optical coherence tomography; Restenosis; Medicine; Percutaneous coronary intervention; Conventional PCI; Revascularization; Radiology; Coronary artery disease; Percutaneous; Cardiology; Myocardial infarction","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":[0.01374823,0.00008457807,0.0005305301,0.0008278535,0.00003691141,0.000005198106,0.000154781,0.00009055664,0.00003365509],"category_scores_gemma":[0.0008031008,0.00007464713,0.001628644,0.001053979,0.0001837145,0.00008898003,0.00002219262,0.0002832292,0.000002064279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005604962,"about_ca_system_score_gemma":0.0008350023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002855153,"about_ca_topic_score_gemma":0.000003082902,"domain_scores_codex":[0.9925801,0.0003827376,0.0009130953,0.0001445514,0.005810493,0.0001689861],"domain_scores_gemma":[0.9914279,0.0004290253,0.0001938418,0.0003527668,0.007482689,0.000113798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005285448,0.0008526533,0.006033524,0.0008381276,0.005186724,0.00001105717,0.0003687991,0.8371655,0.02228651,0.00383794,0.00009853231,0.1227921],"study_design_scores_gemma":[0.009568514,0.001829685,0.1747025,0.001493805,0.005593557,0.00009134596,0.0005490615,0.764401,0.02557303,0.01506323,0.000940813,0.0001934489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8296646,0.01220956,0.1562359,0.0003655286,0.00004886944,0.0007893165,0.00004000563,0.00000590809,0.0006403194],"genre_scores_gemma":[0.9959718,0.0007629427,0.003128429,0.000002063379,0.00006262579,0.00002350572,0.00002887302,0.00001240055,0.00000737569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168669,"threshold_uncertainty_score":0.4764889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734264307905858,"score_gpt":0.4171435098932627,"score_spread":0.2437170791026768,"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."}}