{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626273,0.0009079198,0.0004162325,0.0006796764,0.0002303169,0.001189377,0.001101696,0.001256033,0.005517311],"category_scores_gemma":[0.001150688,0.0003506523,0.0002613041,0.000570151,0.000422806,0.00148438,0.0006192795,0.0009691571,0.00392135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009630374,"about_ca_system_score_gemma":0.0005826672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004843962,"about_ca_topic_score_gemma":0.0007589372,"domain_scores_codex":[0.99946,0.0000791282,0.00001841547,0.00008368674,0.0003183346,0.00004036327],"domain_scores_gemma":[0.9993283,0.0001459579,0.00006016942,0.00008622983,0.0003401186,0.00003934156],"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":[0.0001441734,0.0001145268,0.000804039,0.000958095,0.00005270186,0.0002591626,0.0001717593,0.003497621,0.652298,0.1029886,0.0120291,0.2266823],"study_design_scores_gemma":[0.00007425196,0.0008960081,0.001594093,0.0002625054,0.00009860662,0.0008319828,0.0001498923,0.02640476,0.3825598,0.01546199,0.5715979,0.00006827416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03820309,0.03820819,0.8659614,0.003154945,0.001702712,0.0005136611,0.0004774775,0.002658402,0.04912012],"genre_scores_gemma":[0.1585271,0.01782538,0.78817,0.001567469,0.0004662118,0.0006284417,0.0005976122,0.0003700603,0.03184778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005517311,"threshold_uncertainty_score":0.01845723,"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."}}