{"id":"W2604446157","doi":"10.1097/jom.0000000000000980","title":"Improving Body Composition May Reduce the Immune and Inflammatory Responses of Firefighters Working in the Heat","year":2017,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"ACT Government","keywords":"Lean body mass; Composition (language); Body mass index; Platelet; Immune system; Aerobic exercise; Tumor necrosis factor alpha; Medicine; Inflammation; VO2 max; Internal medicine; Immunology; Body weight","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003060528,0.0003084627,0.0002190848,0.0001803187,0.0003278133,0.0002668623,0.0001044644,0.0002715318,0.001889416],"category_scores_gemma":[0.0004563381,0.0000873481,0.000181702,0.00008169808,0.000187013,0.0001498348,0.0002215245,0.0001789358,0.0002416801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106473,"about_ca_system_score_gemma":0.000194988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008351456,"about_ca_topic_score_gemma":0.001329546,"domain_scores_codex":[0.9999077,0.00002574976,0.000006192362,0.00001306031,0.00001310625,0.00003410766],"domain_scores_gemma":[0.9998189,0.00003142425,0.00007179199,0.000008443854,0.00002055226,0.00004902072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003084576,0.002684175,0.813395,0.0002611118,0.0001589506,0.0002756038,0.0004995775,0.0005161182,0.1380759,0.00007117109,0.000310662,0.04066714],"study_design_scores_gemma":[0.00002322603,0.001826514,0.9951687,0.00001322588,0.00002364623,0.0001077289,0.0002371092,0.0001512397,0.0021938,0.00003622847,0.0002158346,0.0000026628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994879,0.0001556984,0.0001279897,0.00004980569,0.000005720085,0.000007647477,0.00001496432,0.000002805625,0.0001474337],"genre_scores_gemma":[0.9990024,0.0001511275,0.0003836675,0.00004257067,0.00001832828,0.00001236794,0.00003876148,9.660073e-7,0.0003499229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889416,"threshold_uncertainty_score":0.006320715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06269772293011348,"score_gpt":0.3978696682900776,"score_spread":0.3351719453599641,"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."}}