{"id":"W2770657274","doi":"10.1016/j.acra.2017.09.018","title":"Optical Coherence Tomography","year":2017,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Optical coherence tomography; Tomography; Medicine; Computer science; 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":[0.000784786,0.0006631975,0.0002593065,0.001863875,0.0008512756,0.001694967,0.0004894284,0.001124649,0.01849174],"category_scores_gemma":[0.002098451,0.000351415,0.0002893785,0.001065306,0.0009984733,0.001235611,0.00081176,0.0011005,0.007376003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008058755,"about_ca_system_score_gemma":0.001225258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009746272,"about_ca_topic_score_gemma":0.001544595,"domain_scores_codex":[0.9994147,0.000117577,0.00003601424,0.000135481,0.0002442834,0.0000520092],"domain_scores_gemma":[0.9991509,0.0002137007,0.0001161607,0.0001727652,0.0002808292,0.00006567955],"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":[0.0005384872,0.0002175229,0.009279625,0.0006564288,0.000121653,0.003852884,0.0003562154,0.001069096,0.2166198,0.03674769,0.09805838,0.6324822],"study_design_scores_gemma":[0.000156782,0.0002796951,0.01333603,0.0004339023,0.0001906035,0.03322285,0.0003721207,0.009255414,0.2233049,0.01951098,0.699823,0.00011368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.09255405,0.04850698,0.3907189,0.02171923,0.002876102,0.0005998617,0.001862532,0.00649907,0.4346632],"genre_scores_gemma":[0.5980144,0.02173184,0.1937412,0.0125428,0.002417049,0.0004685124,0.001367875,0.0009353142,0.1687811],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01849174,"threshold_uncertainty_score":0.06186104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036328075945578,"score_gpt":0.2762484295441379,"score_spread":0.2558851487846822,"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."}}