{"id":"W2067756150","doi":"10.1016/j.optcom.2004.06.002","title":"Gouy phase anomaly in optical coherence tomography","year":2004,"lang":"en","type":"article","venue":"Optics Communications","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Optical coherence tomography; Optics; Phase (matter); Anomaly (physics); Phase coherence; Physics; Chromatic aberration; Chromatic scale; Tomography; Coherence (philosophical gambling strategy)","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":[0.00120499,0.0005400847,0.0006381079,0.002368829,0.0008023753,0.001846259,0.0007632778,0.002223759,0.001081278],"category_scores_gemma":[0.008270366,0.0003837472,0.0002085044,0.001436781,0.002579452,0.003110856,0.001431695,0.00180943,0.0003528474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006576086,"about_ca_system_score_gemma":0.0005003509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007244702,"about_ca_topic_score_gemma":0.0004492692,"domain_scores_codex":[0.9992794,0.0003117084,0.00002326372,0.0001044461,0.0002325917,0.00004856777],"domain_scores_gemma":[0.9986976,0.0007421625,0.0001490576,0.0001408408,0.0001770884,0.0000932976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002340205,0.00002561045,0.001958875,0.0001218334,0.00001913891,0.001150578,0.0001658046,0.01322551,0.02075842,0.922034,0.002658222,0.03764791],"study_design_scores_gemma":[0.00004113261,0.00004622221,0.00168441,0.00003757093,0.00002171838,0.003513501,0.0001307315,0.190116,0.01550164,0.7811646,0.007676834,0.00006571304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.204724,0.007521614,0.7410578,0.00824838,0.00101143,0.0001120704,0.0002521189,0.001953318,0.03511924],"genre_scores_gemma":[0.8964174,0.002000681,0.09443136,0.0005071662,0.0005509003,0.00005405322,0.0001281283,0.000274429,0.005635852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002368829,"threshold_uncertainty_score":0.00637269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531403639150295,"score_gpt":0.2875350218695071,"score_spread":0.2622209854780042,"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."}}