{"id":"W2095397204","doi":"10.1364/cleo_at.2012.jth3j.2","title":"Dispersion Compensated Megahertz FDML Laser for Imaging of the Anterior Segment","year":2012,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TeraXion (Canada)","funders":"","keywords":"Optical coherence tomography; Optics; Laser; Fourier domain; Materials science; Dispersion (optics); Coherence (philosophical gambling strategy); Mode-locking; Coherence length; Optoelectronics; 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":[0.0001950895,0.0001449264,0.0001289701,0.0003890062,0.0001779686,0.000166661,0.0004515936,0.0004895969,0.001614725],"category_scores_gemma":[0.0002420858,0.0001331306,0.00007892837,0.000197007,0.0002132209,0.0003814237,0.0001774163,0.0003879673,0.0002366091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064561,"about_ca_system_score_gemma":0.0002795188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006749047,"about_ca_topic_score_gemma":0.002041697,"domain_scores_codex":[0.9999028,0.00001746062,0.000004448173,0.00002115901,0.00004477448,0.000009325528],"domain_scores_gemma":[0.9998701,0.00005594727,0.00002519696,0.00002034077,0.00001981679,0.000008645196],"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":[0.0001808568,0.00002252119,0.0007201044,0.00006705963,0.000005822972,0.0001304923,0.00004151385,0.0003958706,0.9706483,0.0007487545,0.0003213691,0.02671735],"study_design_scores_gemma":[0.0001123391,0.0006299271,0.007319969,0.00003616351,0.00004284705,0.004162593,0.00004860173,0.03243322,0.9420319,0.000786599,0.01235377,0.0000420767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7173307,0.008453526,0.2667763,0.001469087,0.0001378188,0.00008167708,0.0004038555,0.0008811154,0.004465895],"genre_scores_gemma":[0.775632,0.001653846,0.2156708,0.0002751241,0.00008491202,0.00008736938,0.0001764703,0.00004667906,0.006372834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614725,"threshold_uncertainty_score":0.00540179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009836325156454273,"score_gpt":0.2271871652473384,"score_spread":0.2173508400908842,"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."}}