{"id":"W2166075014","doi":"10.1093/annhyg/44.3.227","title":"Fit factors for quarter masks and facial size categories","year":2000,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respirator; Quarter (Canadian coin); Statistics; Mathematics; Face masks; Coronavirus disease 2019 (COVID-19); Medicine; Geography; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406634,0.00007042864,0.0001293821,0.00003134928,0.000104207,0.000009964143,0.00002903446,0.00003882967,0.0006877651],"category_scores_gemma":[0.000107031,0.00004552843,0.00007644068,0.0000605134,0.00006097855,0.00008355065,0.000004468096,0.00003841947,0.000008197003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004183678,"about_ca_system_score_gemma":0.00003456599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004069717,"about_ca_topic_score_gemma":0.000007648108,"domain_scores_codex":[0.9994922,0.00001500119,0.0001695899,0.00008862741,0.0001352491,0.00009932821],"domain_scores_gemma":[0.9994133,0.000214299,0.00005657523,0.00008731908,0.0001958776,0.00003260863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02606951,0.001092964,0.7069002,0.0004151834,0.0009921757,0.000003379717,0.008354023,0.001162795,0.004486615,0.01951954,0.03939304,0.1916106],"study_design_scores_gemma":[0.0007970358,0.0003006838,0.9754846,0.00001162577,0.00004659728,0.000004274932,0.00007286269,0.001209391,0.002746685,0.001493031,0.01776943,0.00006378508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960181,0.00007323449,0.0005575257,0.001956091,0.00006664504,0.000248596,0.00006682231,0.00001542919,0.0009975233],"genre_scores_gemma":[0.9973941,0.00001831401,0.00006366202,0.0004192358,0.0001651022,0.00001683696,0.00005016888,0.000005161318,0.001867439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2685844,"threshold_uncertainty_score":0.7530545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09153339537760175,"score_gpt":0.3669850272155197,"score_spread":0.2754516318379179,"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."}}