{"id":"W2532051619","doi":"10.1109/iedm.1994.383317","title":"Mega pixel CCD image sensor technology","year":2002,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Mega-; Pixel; Computer vision; Artificial intelligence; Compensation (psychology); Computer science; Image sensor; Image (mathematics); Motion (physics); Physics","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":[0.0004212534,0.0003467079,0.0005268408,0.0006396811,0.0003282524,0.0009623854,0.001303121,0.0006252585,0.00967171],"category_scores_gemma":[0.000933622,0.0003672542,0.0001927157,0.001067993,0.0003573014,0.001167259,0.0007919853,0.0007320537,0.003829848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007767414,"about_ca_system_score_gemma":0.0007294092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009259714,"about_ca_topic_score_gemma":0.001191943,"domain_scores_codex":[0.9991708,0.0000620153,0.00002947386,0.0001785732,0.0005143723,0.00004494051],"domain_scores_gemma":[0.9995021,0.0001005521,0.00005091056,0.00008078357,0.0002263724,0.00003934818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002093244,0.00006811231,0.00262218,0.001568232,0.00005707558,0.000355652,0.0002452426,0.00301845,0.5431445,0.06789077,0.03530088,0.3455196],"study_design_scores_gemma":[0.00002851856,0.0003407713,0.004573699,0.000116122,0.00006648502,0.003774776,0.0001283167,0.02759477,0.475,0.007864428,0.480423,0.00008906287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04210745,0.02256334,0.8228726,0.001538348,0.001202757,0.0004275662,0.001599132,0.005855824,0.101833],"genre_scores_gemma":[0.2084676,0.009589578,0.7256697,0.001778582,0.0003216714,0.0003036115,0.001640192,0.0003641903,0.05186488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00967171,"threshold_uncertainty_score":0.03235513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005922322498099585,"score_gpt":0.1738649933913015,"score_spread":0.1679426708932019,"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."}}