{"id":"W2010987943","doi":"10.1016/j.optcom.2005.05.004","title":"Minute details detection through Fresnel diffraction domain","year":2005,"lang":"en","type":"article","venue":"Optics Communications","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Universidad Nacional de Colombia; Universidad de Antioquia; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Optics; Fresnel diffraction; Diffraction; Fresnel number; Domain (mathematical analysis); Computer science; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002242076,0.000361901,0.0002982381,0.0009356893,0.0002554515,0.0007264806,0.0005161077,0.0006175081,0.002610157],"category_scores_gemma":[0.0006673806,0.000365321,0.000136262,0.0006154607,0.0004670768,0.001377292,0.0007075873,0.0005229271,0.0005968118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808069,"about_ca_system_score_gemma":0.0002748902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488056,"about_ca_topic_score_gemma":0.001518687,"domain_scores_codex":[0.9997315,0.00002599145,0.000008580444,0.00004277811,0.0001598624,0.00003129349],"domain_scores_gemma":[0.999292,0.0002616084,0.0001472848,0.0001353369,0.0001135835,0.00005026375],"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":[0.0004205912,0.00003620332,0.00184846,0.0001158014,0.00002165377,0.0001507612,0.0001427271,0.002212561,0.9189624,0.008999528,0.001240638,0.06584867],"study_design_scores_gemma":[0.00002298872,0.0001251527,0.003725889,0.00001107309,0.00001285047,0.0005044857,0.0000614626,0.05139128,0.9340611,0.002344766,0.007699403,0.00003973034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641685,0.001727344,0.4152833,0.0002877385,0.0001721024,0.00005608776,0.0005248229,0.001495331,0.0162849],"genre_scores_gemma":[0.8107708,0.001138077,0.1761289,0.0001070588,0.00005649424,0.00003762603,0.000432271,0.00009749895,0.0112313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002610157,"threshold_uncertainty_score":0.008731782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769336111822832,"score_gpt":0.275604549544375,"score_spread":0.2479111884261467,"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."}}