{"id":"W1983118281","doi":"10.1039/b909663a","title":"A comparative study of two factor analytic models applied to PAH data from inhalable air particulate collected in an urban-industrial environment","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruker (Canada); McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment","keywords":"Particulates; Gasoline; Coke oven; Environmental chemistry; Environmental science; Polycyclic aromatic hydrocarbon; Diesel fuel; Coke; Principal component analysis; Chemistry; Atmospheric sciences; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01985682,0.001989612,0.001326206,0.001477013,0.0006340753,0.00196676,0.001088762,0.001085868,0.0008657896],"category_scores_gemma":[0.04262934,0.0006080308,0.002697821,0.001377766,0.0005696486,0.001516719,0.0007807543,0.001121891,0.0005575519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353959,"about_ca_system_score_gemma":0.001868066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773838,"about_ca_topic_score_gemma":0.01241519,"domain_scores_codex":[0.9946536,0.004112636,0.0002041852,0.000487869,0.0003773596,0.0001642761],"domain_scores_gemma":[0.9578407,0.03800857,0.001017609,0.0005541172,0.002277133,0.0003018871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003086896,0.0006845474,0.09008631,0.0008028296,0.00232734,0.0003721112,0.001997984,0.6022171,0.004898689,0.007558538,0.002913173,0.2830545],"study_design_scores_gemma":[0.00003902018,0.000252429,0.00570842,0.00003415366,0.00008465052,0.00005876563,0.0001651312,0.9911498,0.0003836213,0.001656772,0.000420075,0.00004718755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4300214,0.001626701,0.5633166,0.0007201187,0.0001162312,0.0006739596,0.0006597341,0.001559178,0.001306122],"genre_scores_gemma":[0.7541928,0.001232399,0.240371,0.0002056527,0.00009733728,0.001079601,0.001383833,0.0003239893,0.001113198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01985682,"threshold_uncertainty_score":0.1050142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09673755959837364,"score_gpt":0.3111472858614344,"score_spread":0.2144097262630608,"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."}}