{"id":"W4407186083","doi":"10.1364/josaa.538775","title":"Resolution metric for imaging systems","year":2025,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Metric (unit); Resolution (logic); Mathematics; Computer science; Artificial intelligence; Computer vision; Engineering","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":[0.002705622,0.001721087,0.001091264,0.003582971,0.000893029,0.003238551,0.001468655,0.001754644,0.004842219],"category_scores_gemma":[0.01098777,0.0003595432,0.0005931347,0.002450606,0.00202638,0.005968437,0.002581631,0.002129846,0.002204206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869835,"about_ca_system_score_gemma":0.0007190104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668187,"about_ca_topic_score_gemma":0.0003554981,"domain_scores_codex":[0.9950355,0.001138982,0.0003965078,0.0007252756,0.002462519,0.0002412002],"domain_scores_gemma":[0.9946123,0.001779665,0.0007456269,0.0008371721,0.001751909,0.0002732247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145414,0.00006249832,0.001171506,0.000573661,0.00008137408,0.0003121704,0.0002066368,0.04217038,0.03853933,0.7657303,0.01411215,0.1369254],"study_design_scores_gemma":[0.00003060948,0.0003291113,0.002377443,0.0001683139,0.00006648661,0.002990369,0.0002072725,0.4924806,0.05066977,0.3222089,0.1282958,0.0001752901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005830721,0.002889756,0.9749107,0.0004060398,0.0002485427,0.00009939692,0.000352107,0.000513718,0.01474903],"genre_scores_gemma":[0.2729149,0.004378601,0.7051232,0.0008144888,0.0009056373,0.0004358576,0.001324919,0.0007516505,0.01335073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004842219,"threshold_uncertainty_score":0.01619887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100609661209856,"score_gpt":0.2232014993477994,"score_spread":0.2181008896865895,"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."}}