{"id":"W2583667051","doi":"10.1109/icecs.2016.7841134","title":"Towards chip scale components for optical coherence tomography","year":2016,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Microelectromechanical systems; Miniaturization; Optical coherence tomography; Actuator; Electronic engineering; Computer science; Optical filter; Fabrication; Optical switch; Materials science; Optics; Engineering; Optoelectronics; Physics; Nanotechnology; Artificial intelligence","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":[0.00008407151,0.0001562129,0.0001584814,0.00009472703,0.00005467606,0.00003018069,0.0002646794,0.000087301,0.0002689706],"category_scores_gemma":[0.00001668394,0.0001084788,0.0001342192,0.0002921305,0.0001352937,0.0001201472,0.0000276162,0.00006464595,0.0001528252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002188861,"about_ca_system_score_gemma":0.000008541256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004509321,"about_ca_topic_score_gemma":0.00001035881,"domain_scores_codex":[0.9990554,0.000005194066,0.0002063926,0.0002222714,0.0001526112,0.0003580749],"domain_scores_gemma":[0.9992807,0.0001393443,0.0000125119,0.000315287,0.00006310079,0.0001890388],"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":[0.00005999041,0.0003616679,0.01603463,0.0001717836,0.0002220085,0.000001689506,0.00008537131,0.0001203567,0.5186949,0.1786475,0.01020127,0.2753988],"study_design_scores_gemma":[0.005109529,0.0006196594,0.3359675,0.0003041219,0.0002030529,0.00002079751,0.0001016899,0.01561897,0.4992324,0.08139966,0.05863313,0.002789465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.425925,0.00007349536,0.4864416,0.000790476,0.0002180159,0.0009278899,0.00009710135,0.001304222,0.08422222],"genre_scores_gemma":[0.9564483,0.00001039082,0.04284208,0.00004230746,0.00005611455,0.0004199566,0.000006572237,0.00002740564,0.000146908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5305232,"threshold_uncertainty_score":0.4423638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974455912446165,"score_gpt":0.2421346592759378,"score_spread":0.2223901001514761,"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."}}