{"id":"W2048908637","doi":"10.1117/12.728400","title":"Design criteria in choosing optimized OCT scanning regimes","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nanoacademic Technologies","funders":"","keywords":"Pixel; Optical coherence tomography; Computer science; Artificial intelligence; Face (sociological concept); 3d scanning; Computer vision; Optics; Physics","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":[0.002150984,0.0007023859,0.0004521503,0.0008329056,0.0003925955,0.0009421212,0.0005215803,0.0007854953,0.001503838],"category_scores_gemma":[0.008006546,0.0004663003,0.0002543113,0.0003899357,0.0004330403,0.0006664993,0.000549176,0.0003589761,0.0004951745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487562,"about_ca_system_score_gemma":0.0006723829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653555,"about_ca_topic_score_gemma":0.000503178,"domain_scores_codex":[0.998922,0.0003520241,0.000143859,0.0001605777,0.0003248381,0.00009675218],"domain_scores_gemma":[0.9941812,0.003499848,0.0009410567,0.0002951645,0.0009280746,0.0001546972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001759788,0.0003427899,0.008552634,0.001309705,0.00008987564,0.0005900152,0.000383433,0.1089823,0.7215041,0.009932296,0.001443886,0.1451092],"study_design_scores_gemma":[0.0004816516,0.00355609,0.01495881,0.0003419456,0.0003213498,0.001719635,0.0003053396,0.3868226,0.5672968,0.01122825,0.01274457,0.000223044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2413647,0.001402301,0.7468436,0.0005068718,0.00004988562,0.0007296253,0.0002276108,0.001003901,0.007871527],"genre_scores_gemma":[0.6873433,0.0004833608,0.3099069,0.0001758575,0.00002596363,0.000715185,0.00009386458,0.0002320617,0.001023521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002150984,"threshold_uncertainty_score":0.01137561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993580059514838,"score_gpt":0.2686518227857373,"score_spread":0.2487160221905889,"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."}}