{"id":"W6885517615","doi":"10.1371/journal.pone.0025101.t002","title":"Linear regression estimates of all-season mortality from circulatory and respiratory causes in Metro Vancouver elderly population vs. air pollution (PM&lt;sub&gt;2.5&lt;/sub&gt;).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linear regression; Air pollution; Aerodynamic diameter; Population; Particulates; Regression analysis; Regression","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":[0.0008261593,0.0006887994,0.0009875374,0.001805784,0.0004576818,0.0009975981,0.001657345,0.0006809096,0.02663573],"category_scores_gemma":[0.00547561,0.0004682683,0.00115625,0.003654384,0.0001537391,0.0005393293,0.0009916329,0.00125982,0.008987573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972953,"about_ca_system_score_gemma":0.00322255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6571444,"about_ca_topic_score_gemma":0.7234821,"domain_scores_codex":[0.9995944,0.00007219347,0.00005113936,0.0001294478,0.00008487411,0.0000680739],"domain_scores_gemma":[0.9978337,0.0004686406,0.0002275365,0.0001719937,0.001109137,0.0001890985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001112912,0.00003028951,0.04061382,0.001305446,0.0004041607,0.00003769922,0.00007422931,0.001116413,0.00006929597,0.0004998311,0.9493704,0.006367218],"study_design_scores_gemma":[0.0006004993,0.00004472192,0.4005364,0.001859521,0.0007010964,0.0001274247,0.0008046239,0.003185824,0.0002958797,0.0008733069,0.5908928,0.00007783525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002346371,0.0003770395,0.00009612806,0.0001616812,0.00005425991,0.00001469195,0.9960644,0.00008144414,0.0008038708],"genre_scores_gemma":[0.02066837,0.000516958,0.0005562815,0.000121251,0.0000556735,0.0001512759,0.9722984,0.00009708824,0.005534689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3428556,"threshold_uncertainty_score":0.6897495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343591656551737,"score_gpt":0.3284413277815162,"score_spread":0.2550054112159988,"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."}}