{"id":"W4251042344","doi":"10.1002/9780471740360.ebs0155","title":"Biomedical Sensors","year":2006,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Biomedical Engineering","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transducer; Computer science; Modalities; Engineering; Nanotechnology; Electrical engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002866367,0.0004237535,0.0006668013,0.001147381,0.00002285206,0.00001477258,0.001262161,0.001067175,0.00009075855],"category_scores_gemma":[0.0001961183,0.0003900171,0.0001644103,0.0008242954,0.0002346786,0.00005742022,0.0001012838,0.0004763483,0.00009940409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005838454,"about_ca_system_score_gemma":0.00009705743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152591,"about_ca_topic_score_gemma":0.000005458365,"domain_scores_codex":[0.9972296,0.00003443908,0.0006199626,0.000608668,0.000946257,0.0005610193],"domain_scores_gemma":[0.9984854,0.00008546781,0.0002663394,0.0008761188,0.00003115753,0.000255474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001345639,0.0001638193,0.00004092069,0.0004623057,0.000123359,0.0001328649,0.00003593712,0.00001520246,0.002092429,0.002234488,0.9862775,0.008419896],"study_design_scores_gemma":[0.0003564114,0.00006655509,0.00002743926,0.0008242703,0.00002317522,0.00003629942,0.000004151352,0.002417891,0.0002476011,0.00002727482,0.9955753,0.0003936466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001588699,0.004643323,0.4631482,0.0007607269,0.009761082,0.0007865069,0.00009719114,0.004823892,0.5158202],"genre_scores_gemma":[0.01541225,0.007417099,0.2430938,0.0002946168,0.01156861,0.0003502971,0.0006741061,0.002725584,0.7184636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2200544,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006226804744971733,"score_gpt":0.200289943030388,"score_spread":0.1940631382854163,"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."}}