{"id":"W4407463638","doi":"10.1021/acsphotonics.4c02266","title":"Metaoptic Computational Imaging","year":2025,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Nanotechnology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855647,0.0001009548,0.0001198383,0.00008664555,0.0001934168,0.0002050111,0.0007667943,0.00002441308,0.00000406293],"category_scores_gemma":[0.00002063563,0.00008973731,0.00005974638,0.0005271629,0.00002835647,0.0002147435,0.0004886041,0.0001543762,0.00002089086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003117753,"about_ca_system_score_gemma":0.00009469027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008904939,"about_ca_topic_score_gemma":0.000001512458,"domain_scores_codex":[0.9990838,0.00003347984,0.0001811969,0.0002833095,0.0001703874,0.0002477943],"domain_scores_gemma":[0.9993228,0.0001698984,0.0000492813,0.000335979,0.00007896866,0.00004301637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005431444,0.0001035446,0.001625383,0.00004457105,0.00008847984,0.00009152111,0.0001985926,0.3593069,0.0008686863,0.5550299,0.01141183,0.07122507],"study_design_scores_gemma":[0.0001621994,0.000006315321,0.0006176822,0.00002508807,0.000005247485,0.00001204364,0.000005203072,0.9609721,0.0005563759,0.02749309,0.01004608,0.00009854241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05496288,0.00126562,0.9259157,0.004598726,0.0011659,0.0001636848,6.320922e-7,0.0003147667,0.01161214],"genre_scores_gemma":[0.9098353,0.00001451715,0.08732426,0.002429121,0.00002396842,0.000004817905,0.000002075687,0.000005257174,0.0003606122],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8548725,"threshold_uncertainty_score":0.3659381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006413326665662294,"score_gpt":0.2465127011778712,"score_spread":0.2400993745122089,"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."}}