{"id":"W2102633221","doi":"10.1109/dftvs.1999.802865","title":"Creating 35 mm camera active pixel sensors","year":2003,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pixel; Computer vision; Computer science; Image sensor; Artificial intelligence; Computer graphics (images)","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":[0.0002378808,0.0003602923,0.0003670974,0.0002217665,0.0001849638,0.00055364,0.0006565599,0.0005916269,0.003066313],"category_scores_gemma":[0.0003636972,0.0002608399,0.0003189399,0.0002126297,0.0003217756,0.0006191531,0.0005963686,0.0006114155,0.0009748418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781918,"about_ca_system_score_gemma":0.000415234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006940177,"about_ca_topic_score_gemma":0.0007182354,"domain_scores_codex":[0.9996716,0.0000205039,0.00001176084,0.00009051438,0.0001529132,0.00005273377],"domain_scores_gemma":[0.9998252,0.00002370841,0.00003583348,0.0000177427,0.00005606488,0.00004144718],"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":[0.00007316247,0.00004768124,0.0004651201,0.0001108417,0.000009720847,0.0001377544,0.00009867156,0.001079317,0.9653396,0.005941393,0.001112183,0.02558462],"study_design_scores_gemma":[0.00001582303,0.0003358948,0.001110484,0.00001013542,0.00001925904,0.0003926064,0.00004433453,0.005176056,0.9461519,0.0004696233,0.04624668,0.00002722337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7357227,0.002989196,0.2123579,0.0006327351,0.0007305216,0.0007297703,0.0009151969,0.0032817,0.04264036],"genre_scores_gemma":[0.6016039,0.001002844,0.3746591,0.000263684,0.00003938467,0.0002002225,0.0006000272,0.0001440214,0.02148693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066313,"threshold_uncertainty_score":0.01025778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006815440939333631,"score_gpt":0.2070338636812606,"score_spread":0.200218422741927,"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."}}