{"id":"W2550679989","doi":"10.1149/ma2012-01/18/805","title":"CMOS Sensors for Compressive Sensing","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CMOS; Compressed sensing; Computer science; Materials science; Electronic engineering; Electrical engineering; Optoelectronics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211752,0.0006383653,0.0004450167,0.0003905579,0.0002961335,0.0005591745,0.0006009601,0.0007702737,0.0454936],"category_scores_gemma":[0.0006994004,0.000222897,0.0002426124,0.0004022856,0.0003179638,0.000836824,0.0005146337,0.0009549841,0.01076204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004529577,"about_ca_system_score_gemma":0.0003223265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006927503,"about_ca_topic_score_gemma":0.002108384,"domain_scores_codex":[0.9996941,0.00001781364,0.00001083442,0.00004645879,0.0002019137,0.0000288759],"domain_scores_gemma":[0.9998084,0.00004527243,0.00002096593,0.00003352632,0.00007001693,0.00002192779],"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":[0.0003893049,0.00005988945,0.0002141862,0.0008993538,0.00002968191,0.0001036903,0.00002143688,0.0002802988,0.8930196,0.006806726,0.03224104,0.06593477],"study_design_scores_gemma":[0.0001071826,0.0005170148,0.001660392,0.0002192651,0.00006296103,0.0005499864,0.00004379986,0.004262226,0.7516539,0.003080612,0.2378099,0.0000327946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.162929,0.1356992,0.2369313,0.02112514,0.01949138,0.001777882,0.0289193,0.004955092,0.3881717],"genre_scores_gemma":[0.5861741,0.04915708,0.1202411,0.004177822,0.002485704,0.0008074457,0.01035667,0.0003728243,0.2262273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0454936,"threshold_uncertainty_score":0.1521913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892842076829469,"score_gpt":0.2482507945903299,"score_spread":0.2293223738220352,"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."}}