{"id":"W2025150161","doi":"10.1371/journal.pone.0072731","title":"A Macrophysiological Analysis of Energetic Constraints on Geographic Range Size in Mammals","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional Autónoma de México; Wilkes University; University of Toronto; Howard Hughes Medical Institute","keywords":"Allometry; Range (aeronautics); Biology; Bergmann's rule; Energetics; Basal metabolic rate; Ecology; Macroecology; Biological dispersal; Interspecific competition; Abundance (ecology); Evolutionary biology; Latitude; Biogeography; Zoology; Geography; Demography; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002731736,0.0001497684,0.0001937225,0.001133801,0.0002573637,0.0003495336,0.0001639835,0.000174105,0.002106388],"category_scores_gemma":[0.001305111,0.0001136072,0.0003566211,0.0009555957,0.0003222834,0.0004806753,0.0007653116,0.0002366924,0.0001698394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608664,"about_ca_system_score_gemma":0.00009605111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102857,"about_ca_topic_score_gemma":0.002271654,"domain_scores_codex":[0.9998733,0.00004356972,0.000009360553,0.00003228527,0.00002528851,0.00001610913],"domain_scores_gemma":[0.99899,0.0004512563,0.0003376346,0.00007380243,0.00006972058,0.00007761287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002497658,0.00003850976,0.9178597,0.0001076053,0.0002601627,0.0002221903,0.0003888377,0.00301324,0.0561774,0.001441015,0.0001266906,0.02011489],"study_design_scores_gemma":[0.000001720238,0.00004792605,0.9967997,0.000002748404,0.00001666258,0.0001183979,0.0001029114,0.001957047,0.0003666078,0.0004551263,0.0001259803,0.000005198179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973128,0.0001093151,0.001636125,0.0000265455,0.000001452944,0.000004270696,0.0001715436,0.000005765382,0.0007321037],"genre_scores_gemma":[0.9987457,0.00003706847,0.0009028293,0.000007894306,0.000006470732,0.00001004754,0.0001800509,0.000002226946,0.0001077834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106388,"threshold_uncertainty_score":0.00704658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629548878532363,"score_gpt":0.2019438038768374,"score_spread":0.1756483150915138,"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."}}