{"id":"W2282421905","doi":"10.1186/s40064-016-1843-z","title":"Effect of saddle height on skin temperature measured in different days of cycling","year":2016,"lang":"en","type":"article","venue":"SpringerPlus","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Universitat de València; Ministerio de Educación, Cultura y Deporte","keywords":"Reproducibility; Thermography; Cycling; Skin temperature; Medicine; Thermoregulation; Trunk; Biomedical engineering; Knee flexion; Materials science; Orthodontics; Mathematics; Infrared; Internal medicine; Physics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006293999,0.0002319239,0.0007352947,0.0003803455,0.00001816926,0.000001937764,0.0001398929,0.0001663257,0.000100999],"category_scores_gemma":[0.0003935636,0.0001211892,0.0001883171,0.000284509,0.000128945,0.00002862638,0.00003560868,0.0002526762,0.0000075988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008788497,"about_ca_system_score_gemma":0.00003218121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001979371,"about_ca_topic_score_gemma":0.000005817909,"domain_scores_codex":[0.9983644,0.000146792,0.0004459045,0.0002643692,0.0005016461,0.0002768311],"domain_scores_gemma":[0.9987696,0.000370298,0.0001551369,0.0005343306,0.00007384008,0.00009684289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00210951,0.0001971231,0.07346212,0.0004294648,0.0001207656,0.00004764161,0.0003676892,0.000003794889,0.9034958,0.0002562563,0.0000935237,0.0194163],"study_design_scores_gemma":[0.005098513,0.002126083,0.164903,0.003176935,0.00008071269,0.000008055956,0.00001771839,0.000008351688,0.824329,0.00006764709,0.00006710672,0.0001169469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957609,0.0004518869,0.00002107886,0.0002335273,0.0003193924,0.0004923134,0.000009417871,0.00003434956,0.002677204],"genre_scores_gemma":[0.999439,0.00005228147,0.00009094837,0.0000553087,0.0002064602,0.00002053726,0.000002923556,0.00003238184,0.0001001639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09144084,"threshold_uncertainty_score":0.4941953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006464648349286418,"score_gpt":0.2543992704347803,"score_spread":0.2479346220854939,"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."}}