{"id":"W4386070818","doi":"10.11159/icbes23.129","title":"The Effect of the Imaging Parameters on the Performance of Coherence Factor in Plane-Wave Imaging","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coherence (philosophical gambling strategy); Optical coherence tomography; Factor (programming language); Plane wave; Optics; Computer science; Physics","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":[0.0005283726,0.0001313727,0.0001781999,0.0001514696,0.0001532186,0.00009025697,0.0005360523,0.00001516342,1.201186e-7],"category_scores_gemma":[0.0000645207,0.00006085394,0.00003995322,0.001660391,0.0003023251,0.00007821332,0.000100671,0.0002490156,2.014341e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000210917,"about_ca_system_score_gemma":0.000008825059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057542,"about_ca_topic_score_gemma":6.911957e-7,"domain_scores_codex":[0.9990155,0.00001007759,0.0002334185,0.0001711562,0.0003078671,0.0002620071],"domain_scores_gemma":[0.9990091,0.00066335,0.00008105503,0.0001573519,0.00005094778,0.00003822421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001247842,0.00006642975,0.4332333,0.00224276,0.0001424063,0.000001968014,0.001137328,0.2960848,0.1246322,0.06837132,0.0008976176,0.07306511],"study_design_scores_gemma":[0.00009080321,0.00005573698,0.04331536,0.0003978442,0.000005185427,0.000004035817,0.00001075615,0.9323997,0.02359727,0.00001323704,0.00003533931,0.0000747616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988682,0.0001629738,0.00002611331,0.0001442033,0.0003017275,0.000340729,0.000002214066,0.00004102406,0.0001128273],"genre_scores_gemma":[0.9998701,0.00002231454,0.00002071676,0.000006223206,0.00001455076,0.00004316105,3.508372e-8,0.00000741239,0.0000155503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6363149,"threshold_uncertainty_score":0.2481552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006533701162033244,"score_gpt":0.1923154288975567,"score_spread":0.1857817277355235,"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."}}