{"id":"W6983746638","doi":"","title":"Noise analyses of optical coherence tomography systems. Part I. Theories and calculations.","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Optical coherence tomography; Coherence (philosophical gambling strategy); Background noise; Noise reduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148583,0.0001142359,0.0001811608,0.0001518568,0.00004760698,0.00002752821,0.0001046374,0.0000726209,0.00006371691],"category_scores_gemma":[0.00003432036,0.0001055553,0.00005747971,0.0006078832,0.0002544844,0.00008219248,0.0000194651,0.0001035942,0.000006583943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009071005,"about_ca_system_score_gemma":0.000007630135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001017566,"about_ca_topic_score_gemma":0.000008372522,"domain_scores_codex":[0.9991806,0.00001270182,0.0002924025,0.0001408919,0.0001670931,0.0002063605],"domain_scores_gemma":[0.9993003,0.0002191425,0.00002982631,0.0002468255,0.00008430638,0.0001195746],"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":[0.00002719377,0.0001319361,0.03514179,0.0003525887,0.0002830463,0.000006819068,0.0002844701,0.004784125,0.3138583,0.6330892,0.0006343115,0.01140619],"study_design_scores_gemma":[0.001683035,0.0004102861,0.5012792,0.0005139899,0.0008722686,0.00005818476,0.001981779,0.05873561,0.3306537,0.09435029,0.007229646,0.002232019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282249,0.0008827443,0.06911197,0.00004522113,0.000125934,0.0003912218,0.00003781605,0.0003121245,0.1008681],"genre_scores_gemma":[0.9932419,0.00002175361,0.006625651,0.000005543159,0.00003459286,0.00003562146,0.000005397985,0.00001225167,0.00001729827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.538739,"threshold_uncertainty_score":0.4304419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211527450998758,"score_gpt":0.278159221863094,"score_spread":0.2570064767632182,"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."}}