{"id":"W3006892897","doi":"","title":"Phantoms for intravascular or endoscopic optical coherence tomography","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical coherence tomography; Tomography; Computer vision; Computer science; Radiology; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005486906,0.000592802,0.0004401634,0.001331881,0.0009971871,0.001962565,0.0008996972,0.00202402,0.05341045],"category_scores_gemma":[0.01682385,0.001052368,0.0004765221,0.0005254686,0.001278958,0.002656227,0.001589614,0.001653927,0.01074363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082869,"about_ca_system_score_gemma":0.001695419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005291586,"about_ca_topic_score_gemma":0.001010138,"domain_scores_codex":[0.9976579,0.0009337832,0.0001441312,0.0002661055,0.0008560541,0.0001419417],"domain_scores_gemma":[0.9904956,0.004025587,0.0006039468,0.002703656,0.001746169,0.000425059],"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":[0.005194308,0.0007314869,0.005403565,0.001998637,0.000104292,0.004286154,0.002277866,0.002656508,0.419505,0.06022675,0.1231961,0.3744194],"study_design_scores_gemma":[0.0007346063,0.002297245,0.01024749,0.001084299,0.000165208,0.01265395,0.0009235679,0.01619502,0.2701439,0.01768118,0.6675455,0.0003279966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2035702,0.01753443,0.4437772,0.01945003,0.0118734,0.006532303,0.005092272,0.00880253,0.2833676],"genre_scores_gemma":[0.549605,0.005038107,0.3303276,0.004387025,0.001079762,0.003845212,0.00259661,0.002386338,0.1007344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05341045,"threshold_uncertainty_score":0.1786757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06279552648133864,"score_gpt":0.2546895646216967,"score_spread":0.191894038140358,"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."}}