{"id":"W1983676931","doi":"10.1109/tbcas.2013.2243727","title":"CMOS Tunable-Wavelength Multi-Color Photogate Sensor","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Optoelectronics; Materials science; Color gel; CMOS; Quantum dot; Wavelength; Optical filter; Color filter array; Optics; Physics; Layer (electronics); Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001510176,0.0003450133,0.0003756607,0.0001726418,0.0001985646,0.0003405491,0.0009901437,0.0005742328,0.001054871],"category_scores_gemma":[0.0002088395,0.0002242517,0.0002011606,0.0002137852,0.000204676,0.0004252614,0.0004320398,0.0004368536,0.0005367711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005891299,"about_ca_system_score_gemma":0.0003885851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005735318,"about_ca_topic_score_gemma":0.001454969,"domain_scores_codex":[0.9996719,0.0000193861,0.00001037889,0.000118186,0.0001522898,0.00002782609],"domain_scores_gemma":[0.999871,0.0000231408,0.00002967735,0.00001201695,0.00004721065,0.00001695654],"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":[0.00004460787,0.00001928893,0.0002411444,0.00009262934,0.000006852571,0.00008080029,0.00001764316,0.0004835943,0.9838636,0.0006258968,0.0006038449,0.01392023],"study_design_scores_gemma":[0.00002043407,0.0001443333,0.0007752524,0.000009468079,0.00001764046,0.0005460207,0.00001673773,0.009921125,0.9805055,0.0002200013,0.007798996,0.00002442823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4300106,0.005702989,0.530756,0.001507007,0.0008646861,0.0003093949,0.001687761,0.004088379,0.02507313],"genre_scores_gemma":[0.7498525,0.001506575,0.2371551,0.0007357666,0.0001022698,0.0001940073,0.0004713867,0.00005349404,0.009928929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001054871,"threshold_uncertainty_score":0.004274487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985275060390298,"score_gpt":0.2144701609891751,"score_spread":0.1946174103852721,"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."}}