{"id":"W4396919061","doi":"10.1145/3659593","title":"AeroSense: Sensing Aerosol Emissions from Indoor Human Activities","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitas Brawijaya","keywords":"Aerosol; Environmental science; Remote sensing; Meteorology; Geography","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":[0.0002630406,0.0004952803,0.0004798193,0.0006111102,0.0001605613,0.0003408923,0.0005003283,0.0005529243,0.0007414176],"category_scores_gemma":[0.001085941,0.0001615886,0.0003366202,0.0002451628,0.0001412965,0.0004440738,0.0004679836,0.0002494574,0.0003504637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273741,"about_ca_system_score_gemma":0.0001586597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349084,"about_ca_topic_score_gemma":0.001790403,"domain_scores_codex":[0.9996632,0.00004143525,0.0000142947,0.00007307792,0.0001774535,0.00003051919],"domain_scores_gemma":[0.9996786,0.0001487087,0.00005487124,0.00002522569,0.00006945005,0.00002314764],"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":[0.001131991,0.0004768226,0.05099117,0.0004227304,0.0002010848,0.0007659997,0.0002373219,0.05871898,0.3947212,0.0008976221,0.004215623,0.4872194],"study_design_scores_gemma":[0.00005519891,0.0009524433,0.04609142,0.00004049747,0.00008954501,0.001369817,0.000121899,0.8225902,0.1231289,0.001127665,0.004358225,0.00007410724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5311742,0.001235463,0.455725,0.0002438616,0.0001879959,0.0001541914,0.001138873,0.006259148,0.003881391],"genre_scores_gemma":[0.9172819,0.0002915365,0.08016384,0.0001341507,0.00006987621,0.00005464338,0.0005451845,0.00004887011,0.001409943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001349084,"threshold_uncertainty_score":0.002682507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409937622054364,"score_gpt":0.2871145682458979,"score_spread":0.2730151920253542,"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."}}