{"id":"W1862356637","doi":"10.1109/ccece.2001.933616","title":"Theoretic design of a smart vision sensor","year":2002,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Position (finance); Computer vision; Computer science; Artificial intelligence; Dimension (graph theory); Matching (statistics); Image sensor; Process (computing); Reliability (semiconductor); Machine vision; Element (criminal law); Mathematics","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":[0.000315234,0.0003644915,0.0004719289,0.0003412934,0.0002709784,0.0006901875,0.000736993,0.0008225117,0.001623551],"category_scores_gemma":[0.0004433347,0.0003158826,0.0002951135,0.0002246484,0.0006413308,0.0007448022,0.0006308699,0.0003693736,0.0007708998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370355,"about_ca_system_score_gemma":0.0007155696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000337398,"about_ca_topic_score_gemma":0.0002857772,"domain_scores_codex":[0.9996099,0.00005450901,0.00001799127,0.00007939247,0.0002198035,0.00001833982],"domain_scores_gemma":[0.9998674,0.00002904731,0.00002302673,0.00001885543,0.00005024595,0.00001132429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001664739,0.00007627912,0.0007893338,0.0006768136,0.00007028073,0.0003725595,0.000214382,0.2544747,0.3165518,0.2900373,0.006217976,0.1303521],"study_design_scores_gemma":[0.00003992974,0.0004034161,0.0005752934,0.00003928654,0.00003478743,0.000454631,0.00005112743,0.9011875,0.03379902,0.0293322,0.0340293,0.00005340081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005134203,0.0002201298,0.9861638,0.0002005332,0.00007056657,0.00007850768,0.00004735556,0.000295444,0.007789424],"genre_scores_gemma":[0.3663117,0.0006900229,0.6230173,0.0004515101,0.0001065,0.0005962569,0.0001627569,0.00006333644,0.008600626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001623551,"threshold_uncertainty_score":0.005431294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487247746699932,"score_gpt":0.2522326940927378,"score_spread":0.2035079194227446,"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."}}