{"id":"W4240609109","doi":"10.32920/ryerson.14656713","title":"Development of cellphone integrated particulate matter pollution monitoring unit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Particulates; Range (aeronautics); Mie scattering; Detector; Sensitivity (control systems); Battery (electricity); Particle (ecology); Power (physics); Electrical engineering; Environmental science; Optics; Engineering; Physics; Light scattering; Scattering; Electronic engineering; Aerospace engineering; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003760015,0.0002277678,0.000272126,0.00003778347,0.0001051652,0.00004813846,0.0002090245,0.0001927871,0.002036102],"category_scores_gemma":[0.00002104945,0.0002080835,0.00008054574,0.0001843031,0.00007815527,0.00007164179,0.001021349,0.0003697624,0.0002800151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562692,"about_ca_system_score_gemma":0.00005045903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008199536,"about_ca_topic_score_gemma":0.00002796072,"domain_scores_codex":[0.998329,0.00007182918,0.0005515001,0.0004053537,0.0003626429,0.0002796381],"domain_scores_gemma":[0.9993109,0.0000183784,0.0002211769,0.0003343803,0.00002391598,0.00009129189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002670089,0.0002995674,0.7591379,0.0003375771,0.0001640213,0.00001722308,0.01295117,0.04138333,0.1255245,0.000005736994,0.0003371234,0.05981516],"study_design_scores_gemma":[0.000175647,0.00001142823,0.395532,0.0006956529,0.00004075923,0.000003406192,0.003101905,0.00171186,0.5963944,0.00004595793,0.001739327,0.000547657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890932,0.00002967194,0.006995993,0.00005808114,0.0007639839,0.0001163052,0.00000263534,0.00006014556,0.002879925],"genre_scores_gemma":[0.9284117,0.00000578298,0.06977817,0.00001298694,0.0000653836,0.00001761324,0.0000287213,0.00001914596,0.001660511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708698,"threshold_uncertainty_score":0.9988762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186573417080088,"score_gpt":0.2747965059426669,"score_spread":0.222930771771866,"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."}}