{"id":"W2103659634","doi":"10.1109/leosst.1994.700473","title":"FET-SEED Smart Pixel Layout Extraction And Simulation","year":2005,"lang":"en","type":"article","venue":"Proceedings of IEE/LEOS Summer Topical Meetings: Integrated Optoelectronics","topic":"Advancements in Photolithography Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Extraction (chemistry); Pixel; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002564663,0.0003766321,0.00039781,0.0002658779,0.00009702305,0.00007577387,0.0002342735,0.0002891406,0.00003297035],"category_scores_gemma":[0.0001871325,0.0003703534,0.0001027756,0.0004831094,0.0001127377,0.0006196781,0.00004330953,0.0006789453,0.000004000083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232246,"about_ca_system_score_gemma":0.00002233766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002178821,"about_ca_topic_score_gemma":0.0000162323,"domain_scores_codex":[0.9980441,0.000009296255,0.0006460152,0.0004016966,0.0003168127,0.0005821206],"domain_scores_gemma":[0.9990954,0.0000945319,0.0001797986,0.0001227024,0.0003794647,0.0001280435],"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":[0.0005527994,0.0006178843,0.04508784,0.0009237448,0.0005878037,0.000002185827,0.001779331,0.01191258,0.7241095,0.01797638,0.001756435,0.1946935],"study_design_scores_gemma":[0.001128102,0.0005927434,0.002117745,0.0003980525,0.0001583618,0.00002324038,0.0005982468,0.3609114,0.5510998,0.002908917,0.07903115,0.001032245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726116,0.001238149,0.01523236,0.0001470952,0.0001392722,0.0005837544,0.000009323296,0.0009680747,0.009070382],"genre_scores_gemma":[0.9599469,0.0004114454,0.03920738,0.00007944778,0.000127852,0.00005039682,0.00001239323,0.00006677939,0.00009739041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489988,"threshold_uncertainty_score":0.9998748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008439973099492102,"score_gpt":0.2628412256904866,"score_spread":0.2544012525909944,"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."}}