{"id":"W6925357865","doi":"10.17632/z9f499kv9d.1","title":"Dataset of \"Effect of aerobic fitness on the validity of the Calera Research™ sensor to estimate core temperature during exercise\"","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Core (optical fiber); Measure (data warehouse); Core temperature; Aerobic exercise; Temperature measurement; Reliability (semiconductor)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.0199047,0.0004382475,0.001251264,0.0005062742,0.0004424913,0.0001220832,0.01360403,0.0003737488,0.0003980997],"category_scores_gemma":[0.02282185,0.000208354,0.0001801075,0.00204603,0.000756483,0.0002009233,0.007624615,0.001374678,0.00004203823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005098521,"about_ca_system_score_gemma":0.0003589199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235737,"about_ca_topic_score_gemma":0.0001689016,"domain_scores_codex":[0.9902085,0.003132115,0.001325182,0.001246447,0.003585526,0.0005022145],"domain_scores_gemma":[0.9717393,0.01333286,0.0007197887,0.01359848,0.0004801776,0.0001293895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005039156,0.0001008952,0.00005956737,0.0005521587,0.00005377968,0.00001451046,0.00005372489,0.0001492207,0.001059909,0.00006763377,0.9971936,0.0001910421],"study_design_scores_gemma":[0.001141843,0.0005399685,0.001177552,0.004735943,0.000387119,0.00001487878,0.0004395893,0.0001125401,0.05055557,0.001633995,0.9386181,0.0006428763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0666367,0.00009844604,0.00000161384,0.0003644029,0.0006013152,0.001174266,0.9310866,0.000006850609,0.00002978155],"genre_scores_gemma":[0.00933329,0.0001137806,0.00004553101,0.00008749646,0.00007793806,0.00004159941,0.9897967,0.00001497272,0.0004886996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05871006,"threshold_uncertainty_score":0.9917328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2693891350948047,"score_gpt":0.4880572827600672,"score_spread":0.2186681476652624,"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."}}