{"id":"W2544733067","doi":"10.1016/j.jacc.2016.09.558","title":"TCT-423 Adaptable strut contour analysis in scaffold evaluation by optical coherence tomography. Validation of the FANTOM II study analysis by micro-CT, bench test and in-vivo","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian VIGOUR Centre; Toronto General Hospital; University Health Network","funders":"","keywords":"Optical coherence tomography; Medicine; Biomedical engineering; In vivo; Nuclear medicine; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335722,0.0003596447,0.00018696,0.0007355199,0.0001431018,0.0008847261,0.00028906,0.0005689326,0.001647855],"category_scores_gemma":[0.002581074,0.0002986567,0.0001643515,0.0003098858,0.0002810934,0.0004224253,0.0003085142,0.0002783806,0.0003015027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881563,"about_ca_system_score_gemma":0.0003039635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009034184,"about_ca_topic_score_gemma":0.002357711,"domain_scores_codex":[0.999606,0.0001341925,0.00002162059,0.00005945478,0.0001648309,0.0000140076],"domain_scores_gemma":[0.9989021,0.0005741232,0.00009931617,0.0001336982,0.0002537988,0.00003695511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001750309,0.0001828981,0.02619333,0.0005483865,0.0001015955,0.0004541147,0.0004373351,0.01070482,0.778067,0.0007922994,0.001200928,0.1795669],"study_design_scores_gemma":[0.0002263343,0.001911547,0.1607203,0.0001911057,0.0005827192,0.006762392,0.0005183207,0.2377691,0.5802629,0.0009639533,0.009790587,0.0003006988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668658,0.003161843,0.1210281,0.0001793271,0.00006382113,0.0001710979,0.000581776,0.000876979,0.007071211],"genre_scores_gemma":[0.9286283,0.0008970148,0.06840625,0.00009274811,0.0000198597,0.00009649577,0.0002643907,0.0002082828,0.001386666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647855,"threshold_uncertainty_score":0.007064104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007945070669391546,"score_gpt":0.246180399342969,"score_spread":0.2382353286735774,"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."}}