{"id":"W6959836673","doi":"10.1021/es803127d.s001","title":"Intake Fraction of Urban Wood Smoke","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoke; Particulates; Fraction (chemistry); Population; Levoglucosan; Geometric standard deviation; Geometric mean","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409451,0.0003234445,0.0003080507,0.0008367905,0.0002695868,0.0006906965,0.0005220768,0.0002212845,0.00618438],"category_scores_gemma":[0.001081446,0.0001576162,0.0004872265,0.001115671,0.0001868796,0.000373082,0.0005104372,0.0001852424,0.001441221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008002609,"about_ca_system_score_gemma":0.0004281915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03948519,"about_ca_topic_score_gemma":0.04735621,"domain_scores_codex":[0.9996796,0.0000411323,0.00002051818,0.0001096976,0.0001117832,0.00003734973],"domain_scores_gemma":[0.9995453,0.0001104353,0.0001240294,0.00007795534,0.0001230791,0.00001912208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002927863,0.00009492551,0.8630252,0.0002926132,0.0005278211,0.0002580683,0.0004713497,0.02498265,0.008586698,0.003158844,0.002937244,0.09537172],"study_design_scores_gemma":[0.00001034927,0.00008620901,0.9441898,0.00009202879,0.0001873509,0.0004235581,0.0004747305,0.02202209,0.009629926,0.003385351,0.01945161,0.00004698945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393243,0.00134164,0.02325396,0.0001397411,0.00001938037,0.00008468066,0.01551091,0.000302057,0.02002334],"genre_scores_gemma":[0.9841483,0.0003898771,0.003154671,0.00004285138,0.000008369799,0.00004579255,0.007323612,0.00005257456,0.004833982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03948519,"threshold_uncertainty_score":0.0785107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09021145076373138,"score_gpt":0.3124131681269616,"score_spread":0.2222017173632302,"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."}}