{"id":"W2283555357","doi":"10.1149/ma2014-01/40/1492","title":"Applications of Optoelectronics Sensor Technology in Environmental and Personal Health Monitoring","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microelectronics; Wearable computer; Nanotechnology; Computer science; Wearable technology; Systems engineering; Engineering; Embedded system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006271788,0.0005124662,0.0003233631,0.001018609,0.0003686837,0.0009160623,0.0004164874,0.001144413,0.002855336],"category_scores_gemma":[0.0004394054,0.0002439861,0.0003381775,0.001040943,0.0008969465,0.000909962,0.0008119522,0.0008037067,0.0009244874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988116,"about_ca_system_score_gemma":0.0003843005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003122393,"about_ca_topic_score_gemma":0.0004120492,"domain_scores_codex":[0.9995171,0.00009957683,0.00002419477,0.00007733824,0.000247401,0.00003447652],"domain_scores_gemma":[0.9997925,0.0001031557,0.00002297017,0.00001675114,0.00005309533,0.0000115129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001734774,0.0002453423,0.004700202,0.002003518,0.00007331021,0.001038362,0.0004584878,0.006561165,0.3723952,0.1079403,0.01225582,0.4921548],"study_design_scores_gemma":[0.00003702006,0.0005972493,0.006112716,0.0007410822,0.0001231822,0.003821593,0.0004437089,0.02269681,0.3748971,0.08553641,0.5048398,0.0001534183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.05504575,0.3918555,0.380652,0.00955702,0.002206607,0.0002527188,0.0003767087,0.001021521,0.1590322],"genre_scores_gemma":[0.4955501,0.2566486,0.2068006,0.003956494,0.001802173,0.0002368912,0.0002889037,0.0001157079,0.03460051],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002855336,"threshold_uncertainty_score":0.009552062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093015188266849,"score_gpt":0.2491379713811134,"score_spread":0.2382078194984449,"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."}}