{"id":"W6929805744","doi":"10.5061/dryad.c04tj85/1","title":"MYLU Skin Temperature Data","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skin temperature; Torpor; Ectotherm; Air temperature; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005487276,0.0005804515,0.00037799,0.001207143,0.000413716,0.0004584162,0.001055056,0.0002781718,0.1156165],"category_scores_gemma":[0.001906652,0.0002549124,0.0002894872,0.001805661,0.0001225244,0.0006859089,0.0008208413,0.0004295132,0.062921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681029,"about_ca_system_score_gemma":0.001271182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08960661,"about_ca_topic_score_gemma":0.1533221,"domain_scores_codex":[0.9996402,0.00004513791,0.00003658476,0.00009376135,0.0001135951,0.00007065939],"domain_scores_gemma":[0.998785,0.00009478768,0.0001845813,0.0001848517,0.0006680289,0.00008282332],"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":[0.0001721937,0.0000369864,0.01547515,0.0002474272,0.00001689939,0.00003658253,0.000140271,0.0002392744,0.0006462969,0.0006071137,0.9554676,0.0269142],"study_design_scores_gemma":[0.00007661052,0.00005900804,0.174068,0.0002324533,0.0000292272,0.0001069479,0.0001924971,0.0008667286,0.000984035,0.0003423429,0.8230107,0.00003139822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0060959,0.00009100729,0.001104796,0.0001982375,0.00005285414,0.0001452793,0.9539686,0.00082921,0.03751408],"genre_scores_gemma":[0.02514425,0.000190472,0.003921055,0.0002864917,0.00005287044,0.001032774,0.9165659,0.0004594103,0.05234683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1156165,"threshold_uncertainty_score":0.3867759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1492163147704755,"score_gpt":0.3633039796304973,"score_spread":0.2140876648600219,"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."}}