{"id":"W6912930150","doi":"10.5683/sp3/yy1gcu","title":"MaRTy 2020-2021 thermal exposure measurements at the University of Guelph","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermal; Field (mathematics); Temperature measurement; Outdoor activity; Air temperature","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004471334,0.001170332,0.0009028526,0.001661543,0.0005936929,0.001316823,0.001519879,0.001259129,0.01528174],"category_scores_gemma":[0.002413085,0.000369247,0.0006941004,0.002834992,0.0002670135,0.000833598,0.001367821,0.000841014,0.02669886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189165,"about_ca_system_score_gemma":0.001703919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.114092,"about_ca_topic_score_gemma":0.2109131,"domain_scores_codex":[0.9995147,0.00005773404,0.00002611167,0.0001465855,0.000174089,0.00008080579],"domain_scores_gemma":[0.9993042,0.00009303227,0.00007111188,0.0001745595,0.0002650534,0.00009205396],"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":[0.00008715377,0.0000267714,0.00480903,0.0003171883,0.00005874935,0.0000521499,0.00005468991,0.0007804509,0.0003135976,0.0004123668,0.9867741,0.006313787],"study_design_scores_gemma":[0.0000985808,0.00001811109,0.03502822,0.0001820226,0.00002630262,0.00006944002,0.0001696256,0.001572088,0.0007756107,0.0008768071,0.9611362,0.00004715829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001330984,0.0001277066,0.0001273984,0.00009949367,0.00003906277,0.00001006964,0.9961332,0.0005093539,0.001622817],"genre_scores_gemma":[0.002702212,0.00005496973,0.0004826652,0.00004716734,0.00001408684,0.00003375063,0.9953676,0.00007446574,0.001223045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.885908,"threshold_uncertainty_score":0.2268558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771321498137259,"score_gpt":0.2393083565835724,"score_spread":0.2115951416021998,"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."}}