{"id":"W2122596527","doi":"10.4244/eijv7i10a195","title":"In vivo characterisation of bioresorbable vascular scaffold strut interfaces using optical coherence tomography with Gaussian line spread function analysis","year":2012,"lang":"en","type":"article","venue":"EuroIntervention","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbotsford Veterinary Clinic","funders":"","keywords":"Optical coherence tomography; Full width at half maximum; SIGNAL (programming language); Biomedical engineering; Gaussian; Medicine; Line (geometry); Optics; Nuclear medicine; Radiology; Physics; Computer science; Mathematics; Geometry","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":[0.000280253,0.0001777072,0.0002666908,0.0006689614,0.0000306095,0.00003723535,0.0001103985,0.00007442984,0.0003585867],"category_scores_gemma":[0.000009604818,0.0001708551,0.0002270022,0.001802609,0.00007358682,0.0006338449,0.00002491432,0.0001362838,0.0000105373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004524785,"about_ca_system_score_gemma":0.000005220906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006840366,"about_ca_topic_score_gemma":0.0001036956,"domain_scores_codex":[0.9987877,0.00005579151,0.0004518955,0.0002077223,0.0002169374,0.0002799419],"domain_scores_gemma":[0.9994082,0.00002622704,0.0001149055,0.0002970701,0.00006316593,0.00009041916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001858761,0.0009856236,0.4939344,0.0005273488,0.001613496,0.000002927238,0.0004228185,0.02991412,0.4666009,0.002949802,0.00004771195,0.002815036],"study_design_scores_gemma":[0.0008163492,0.0006000344,0.7684492,0.0004543315,0.001411346,0.000006983051,0.0002221896,0.07889538,0.1482139,0.0002445673,0.000134638,0.0005510885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815706,0.0002090224,0.1173928,0.00001154084,0.00009926984,0.000244046,0.00001584284,0.00009046021,0.0003663649],"genre_scores_gemma":[0.9956118,0.00000868766,0.004251773,0.00000402668,0.00004153945,0.00001650713,0.00002641492,0.00002389453,0.00001534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.318387,"threshold_uncertainty_score":0.6967267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186869326618478,"score_gpt":0.2482948348328988,"score_spread":0.229607902171051,"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."}}