{"id":"W4225786604","doi":"10.1177/00220345221087880","title":"Particle Size, Mass Concentration, and Microbiota in Dental Aerosols","year":2022,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Bioaerosol; Aerosol; Saliva; Dentistry; Particle size; Particle (ecology); Medicine; Environmental science; Chemistry; Physics; Internal medicine; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003053274,0.0001125318,0.000227768,0.0001423607,0.0003848487,0.0002670506,0.0005712336,0.00004910205,0.002219276],"category_scores_gemma":[0.001292942,0.0001096655,0.0001039626,0.0007615535,0.0002464807,0.0003783574,0.0005602163,0.001231281,0.0001112078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007065262,"about_ca_system_score_gemma":0.0003799908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002075976,"about_ca_topic_score_gemma":0.0003718073,"domain_scores_codex":[0.9956315,0.000824376,0.0005573447,0.0002348762,0.002090247,0.0006616465],"domain_scores_gemma":[0.9981945,0.0008751815,0.000134754,0.00017938,0.0001770348,0.0004391163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001299356,0.0004631999,0.5854471,0.00003933912,0.00004524236,0.004569117,0.0002799352,0.000025455,0.3954223,0.0005393283,0.01069904,0.001170519],"study_design_scores_gemma":[0.02277049,0.004286412,0.7878525,0.0001958839,0.00003809189,0.01460099,0.03574578,0.0008287182,0.1096327,0.008844095,0.01440414,0.0008002549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965736,0.001955018,0.00001349829,0.0002738104,0.0002905036,0.0002675442,0.0000389917,0.000006174949,0.0005808711],"genre_scores_gemma":[0.9969262,0.0001742369,0.00005861511,0.0001510676,0.0000841607,0.00001913251,0.000003959915,0.00001879944,0.002563839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2857897,"threshold_uncertainty_score":0.9986928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601032644858364,"score_gpt":0.4044307740306288,"score_spread":0.3484204475820452,"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."}}