{"id":"W3195455444","doi":"10.1111/ina.12924","title":"Selection of metric for indoor‐outdoor source apportionment of metals in PM 2.5 : mg/kg versus ng/m 3","year":2021,"lang":"en","type":"article","venue":"Indoor Air","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Government of Canada","keywords":"Gravimetric analysis; Environmental chemistry; Chemistry; Negative correlation; Positive correlation; Dilution; Correlation; Particulates; Sorption; Animal science; Environmental science; Biology; Mathematics; Medicine; Internal medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00119026,0.0002057784,0.0004905668,0.0001937318,0.0001080292,0.00001005388,0.0001911538,0.0001942003,0.0004295535],"category_scores_gemma":[0.0006436373,0.0002127073,0.0001718316,0.001352981,0.0001463479,0.0002656712,0.0001400521,0.0002185479,0.00007205576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565331,"about_ca_system_score_gemma":0.0001524468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396721,"about_ca_topic_score_gemma":0.0002446724,"domain_scores_codex":[0.9974092,0.000197441,0.0008620477,0.0004255372,0.0005921463,0.0005136752],"domain_scores_gemma":[0.9987017,0.0003348277,0.0004219633,0.0002951542,0.00004688466,0.0001994996],"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":[0.004564509,0.005791803,0.2853791,0.002311718,0.0006932723,0.00004044438,0.01915008,0.09789995,0.2689441,0.0009284081,0.01766888,0.2966278],"study_design_scores_gemma":[0.005647799,0.001060984,0.1913909,0.00009894866,0.0001364946,0.00001351338,0.001866057,0.008421482,0.776524,0.0005281267,0.01383699,0.0004747294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933356,0.0001074704,0.004230413,0.0007661532,0.0001435032,0.0006559251,0.00003903489,0.00003095627,0.0006909245],"genre_scores_gemma":[0.9968778,0.00005788299,0.002215798,0.0004840745,0.00005146009,0.00008153852,0.00002682191,0.00002519215,0.0001794437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5075799,"threshold_uncertainty_score":0.8673952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662908890529355,"score_gpt":0.2918789977696071,"score_spread":0.2552499088643136,"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."}}