{"id":"W6967277490","doi":"10.5061/dryad.gt5c0","title":"Data from: Novel energy-saving strategies to multiple stressors in birds: the ultradian regulation of body temperature","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Endotherm; Thermoregulation; Homeothermy; Ultradian rhythm; Stressor; Human body temperature","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":[0.001249022,0.001366075,0.0009517451,0.00243847,0.0005895478,0.001460752,0.001663579,0.001357241,0.01483317],"category_scores_gemma":[0.004577708,0.0004244901,0.001047653,0.00297229,0.0003897997,0.0009449877,0.001627311,0.001066955,0.01412665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077572,"about_ca_system_score_gemma":0.001937266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03189743,"about_ca_topic_score_gemma":0.06745277,"domain_scores_codex":[0.9990013,0.0001631921,0.0001768994,0.0002911611,0.0002089154,0.0001585838],"domain_scores_gemma":[0.9982533,0.000407354,0.0003496682,0.0003646569,0.0004501507,0.0001748253],"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":[0.00061953,0.0001128244,0.03597131,0.006872985,0.000363355,0.0001975013,0.0004139654,0.002126541,0.00301088,0.001382512,0.9313309,0.01759766],"study_design_scores_gemma":[0.0003685624,0.0000589898,0.08022998,0.0008995106,0.0001512622,0.0001503471,0.0003486874,0.001159031,0.001958178,0.001173448,0.9134099,0.00009201147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001494644,0.0001895017,0.0001645208,0.0000925079,0.00003916833,0.00002152772,0.9970681,0.0003027801,0.0006273065],"genre_scores_gemma":[0.002910768,0.0001100257,0.0007740211,0.0000381563,0.000009540668,0.0001240984,0.9954585,0.00006942596,0.0005054501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03189743,"threshold_uncertainty_score":0.06342351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994049305455287,"score_gpt":0.2722819670916434,"score_spread":0.2423414740370906,"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."}}