{"id":"W3159140662","doi":"10.1023/a:1015035222259","title":"CMOS Differential and Absolute Thermal Sensors","year":2002,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Programming language","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":[0.0004828642,0.0004724753,0.0003509013,0.0006190682,0.0004083278,0.001098491,0.000953094,0.0006825331,0.005557286],"category_scores_gemma":[0.001439495,0.0004771788,0.0001775129,0.0004185969,0.0004387117,0.001619506,0.0008750399,0.0006538775,0.001467649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005442695,"about_ca_system_score_gemma":0.0003335156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000238341,"about_ca_topic_score_gemma":0.00106354,"domain_scores_codex":[0.998939,0.00007953396,0.00003878653,0.000289213,0.0005630883,0.00009034838],"domain_scores_gemma":[0.9992815,0.0001841951,0.00009306494,0.0001174843,0.0002731043,0.00005069779],"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":[0.0005253222,0.0000744311,0.002988419,0.0003581892,0.00003598982,0.0001350959,0.0002877606,0.0017449,0.7606813,0.02951313,0.005181124,0.1984744],"study_design_scores_gemma":[0.00003748147,0.0004825529,0.005737004,0.00008407466,0.00007293341,0.001836332,0.0001370063,0.02970573,0.9016989,0.004522214,0.05561258,0.00007302304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3188172,0.01448139,0.5797351,0.001923357,0.001930228,0.000197658,0.001200584,0.003597451,0.07811713],"genre_scores_gemma":[0.8667901,0.001358489,0.09053023,0.0008028098,0.000414769,0.00006585944,0.000345428,0.0001671349,0.03952522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005557286,"threshold_uncertainty_score":0.01859099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713318464238801,"score_gpt":0.2023897520081394,"score_spread":0.1852565673657514,"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."}}