{"id":"W2062114396","doi":"10.1016/j.atmosenv.2014.04.025","title":"Predictors of coarse particulate matter and associated endotoxin concentrations in residential environments","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Health Canada; University of Alberta","funders":"Health Canada; University of Alberta","keywords":"Interquartile range; Environmental science; Particulates; Aerodynamic diameter; Relative humidity; Indoor air; Animal science; Atmospheric sciences; Meteorology; Medicine; Environmental engineering; Chemistry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004650517,0.0004235626,0.000319098,0.0005011852,0.0004745328,0.0008878934,0.0003643045,0.0006908047,0.002509498],"category_scores_gemma":[0.002111755,0.0003704666,0.0005741196,0.000930813,0.0003688262,0.0004613465,0.0005715422,0.0008760372,0.0003716431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166506,"about_ca_system_score_gemma":0.0004197233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001415,"about_ca_topic_score_gemma":0.0101845,"domain_scores_codex":[0.9996198,0.0001012089,0.00003824881,0.00008590134,0.00006909716,0.0000856471],"domain_scores_gemma":[0.9982855,0.0005513589,0.0005117383,0.0001731671,0.000205457,0.0002728508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001640701,0.0000523714,0.9979033,0.000005136214,0.00006383608,0.00004747352,0.00004074532,0.0001735513,0.0004420672,0.00002663153,0.00006178432,0.001018925],"study_design_scores_gemma":[0.000002244349,0.00003733778,0.9988661,0.00000214623,0.0000250922,0.00006898287,0.0001536493,0.0005895218,0.0001256246,0.00007061424,0.00005570947,0.000002944581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991947,0.0001320157,0.0001883111,0.00003669785,0.000006029966,0.000002546257,0.0001896595,0.000006029748,0.0002440862],"genre_scores_gemma":[0.9995772,0.0000416995,0.00008305266,0.000006568512,0.000007724386,0.000001541644,0.0001172581,0.000002604822,0.0001623418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001415,"threshold_uncertainty_score":0.01991171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001014696722304,"score_gpt":0.2276806596740174,"score_spread":0.2176705127067944,"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."}}