{"id":"W2133126827","doi":"10.1109/ivs.1993.697290","title":"Analog Chips And Intelligent Vehicles","year":2005,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Office of Naval Research; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Computer science; Embedded system","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":[0.0004760063,0.0003779345,0.0002258602,0.0007529606,0.0004625793,0.001858903,0.0004506686,0.001224403,0.0189568],"category_scores_gemma":[0.0009440653,0.0001481186,0.0001977154,0.0005903873,0.001069891,0.002275286,0.0006671526,0.0009504588,0.003489871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008637724,"about_ca_system_score_gemma":0.0004880383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007893637,"about_ca_topic_score_gemma":0.00103991,"domain_scores_codex":[0.9996148,0.00008805136,0.0000114546,0.00004200124,0.000197789,0.00004583165],"domain_scores_gemma":[0.9995055,0.0002152657,0.0000319441,0.00004006806,0.0001627614,0.0000444673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004493588,0.00004502648,0.0005059968,0.0002186921,0.00001401397,0.0001304819,0.0001369517,0.002324034,0.001950737,0.7440199,0.02764029,0.222969],"study_design_scores_gemma":[0.000009939648,0.0001239976,0.0004066748,0.0002626311,0.000009777442,0.0003197549,0.0001851386,0.001786139,0.001139677,0.2038657,0.791873,0.00001762999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01098572,0.3304017,0.06966119,0.02061194,0.004622549,0.00005130881,0.0001266059,0.000368364,0.5631706],"genre_scores_gemma":[0.2945847,0.2750863,0.05348464,0.01068457,0.00474296,0.00009646055,0.0002367728,0.0001372665,0.3609463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0189568,"threshold_uncertainty_score":0.06341684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00739878113251503,"score_gpt":0.1931894523526151,"score_spread":0.1857906712201001,"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."}}