{"id":"W2145784838","doi":"","title":"CMOS photodetectors and imaging systems for biomedical applications","year":2009,"lang":"en","type":"article","venue":"Computers and Devices for Communication, 2009. CODEC 2009. 4th International Conference on","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Photodetector; CMOS; Sensitivity (control systems); Image sensor; Computer science; Process (computing); Medical imaging; Electronic engineering; Materials science; 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":[0.0003400411,0.00051987,0.0003382282,0.0005066227,0.0004332687,0.0008055811,0.000594782,0.001080255,0.006181036],"category_scores_gemma":[0.0005878076,0.0002797401,0.0002895976,0.0005936493,0.0003930896,0.0009627398,0.0004384517,0.0007922702,0.002260068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007392904,"about_ca_system_score_gemma":0.0005201971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191455,"about_ca_topic_score_gemma":0.001042708,"domain_scores_codex":[0.9995732,0.00004554739,0.00002228833,0.00006412048,0.0002604811,0.00003442153],"domain_scores_gemma":[0.9998116,0.00005948028,0.00002440377,0.00002073431,0.00007275594,0.00001105976],"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":[0.0001268985,0.00006195437,0.0006886456,0.001740918,0.00004598885,0.0003596207,0.0001767158,0.003779836,0.4750058,0.0778195,0.02210692,0.4180872],"study_design_scores_gemma":[0.0000462398,0.0003646527,0.001480928,0.0002765694,0.00009807129,0.002435725,0.0001067682,0.01707438,0.2878565,0.01686727,0.673318,0.00007495016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0255526,0.1525212,0.738475,0.003931378,0.002185053,0.0004550829,0.0007140244,0.003122647,0.07304307],"genre_scores_gemma":[0.1444016,0.07898723,0.7271588,0.002320179,0.0008754043,0.0002141082,0.0006682473,0.000234362,0.04513996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006181036,"threshold_uncertainty_score":0.02067763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115346224386146,"score_gpt":0.2767854944234396,"score_spread":0.2556320321795781,"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."}}