{"id":"W2037879505","doi":"10.1364/ol.36.004392","title":"Stationary-fiber rotary probe with unobstructed 360° view for optical coherence tomography","year":2011,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Microstructural Sciences","funders":"","keywords":"Optical coherence tomography; Optics; Optical fiber; Materials science; Coherence (philosophical gambling strategy); Interference (communication); Fiber optic sensor; Fiber; Coupling (piping); Physics; Computer science; Telecommunications","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":[0.00007865598,0.0002596391,0.0002141628,0.0001392457,0.00008932238,0.00004489144,0.0002787379,0.00008689122,0.0001866898],"category_scores_gemma":[0.00001110399,0.0002409264,0.00009450662,0.0005801822,0.0002294823,0.0002012967,0.00002262298,0.0002158009,0.00005794478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002802559,"about_ca_system_score_gemma":0.00001979863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005549363,"about_ca_topic_score_gemma":0.000005784415,"domain_scores_codex":[0.9987308,0.00001097023,0.0002879867,0.0003140108,0.0002179994,0.0004382445],"domain_scores_gemma":[0.9991443,0.000115942,0.00004174515,0.000404587,0.0001207307,0.00017272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001425055,0.002249281,0.02499398,0.004305806,0.004539924,0.0002200896,0.005307789,0.03979176,0.3218357,0.4020948,0.02080466,0.1724312],"study_design_scores_gemma":[0.02215927,0.009464087,0.4436753,0.002394789,0.004791633,0.0005444821,0.001719123,0.1986197,0.1619754,0.0628446,0.0708824,0.02092918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6171191,0.0002466442,0.3566786,0.0009450994,0.0002446288,0.003662922,0.0001934632,0.001376006,0.01953355],"genre_scores_gemma":[0.2705671,0.00001245846,0.7277436,0.0003559344,0.00005874537,0.00105245,0.00007944034,0.00008453988,0.0000456615],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4186813,"threshold_uncertainty_score":0.9824694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664671405437639,"score_gpt":0.2084407694728335,"score_spread":0.1917940554184571,"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."}}