{"id":"W4244196153","doi":"10.5383/ijtee.09.01.006","title":"Application of Software for the Prediction of Heat Loss in Outdoor Condition during Physical Activity in Nigeria","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Software; Computer science; Environmental science; Medicine; Physical medicine and rehabilitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003169599,0.0005555252,0.0004518119,0.0006031757,0.0002928053,0.0004966439,0.0005172601,0.0004430028,0.003041468],"category_scores_gemma":[0.001381277,0.0003037242,0.0004735766,0.0004466921,0.0001278184,0.0003748095,0.000341303,0.0003421053,0.000508126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002735492,"about_ca_system_score_gemma":0.0005784613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006869329,"about_ca_topic_score_gemma":0.004679366,"domain_scores_codex":[0.9998934,0.00002243126,0.00001430312,0.00003039108,0.00002831831,0.00001102039],"domain_scores_gemma":[0.9996153,0.0002362816,0.00002760035,0.00002179914,0.00008103163,0.00001787248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008925733,0.0005702921,0.09295736,0.0008422778,0.000134321,0.0007948566,0.001604646,0.6040413,0.03152548,0.00343333,0.006061732,0.2571419],"study_design_scores_gemma":[0.00003250952,0.0001059425,0.01216579,0.00005405508,0.00003158512,0.000106175,0.000159614,0.9747888,0.008195516,0.0006957786,0.003642314,0.00002186957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6005543,0.0005282375,0.3676985,0.0001929935,0.0001454052,0.0003894047,0.002720922,0.01783643,0.009933792],"genre_scores_gemma":[0.9099627,0.0003145849,0.08384767,0.00002257799,0.00001150402,0.0003550347,0.001534583,0.0003366141,0.003614771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006869329,"threshold_uncertainty_score":0.01365864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006596256877084289,"score_gpt":0.2321649971658385,"score_spread":0.2255687402887542,"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."}}