{"id":"W2952409138","doi":"10.1098/rstb.2019.0035","title":"Scaling of thermal tolerance with body mass and genome size in ectotherms: a comparison between water- and air-breathers","year":2019,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Ectotherm; Scaling; Breather; Thermal; Biology; Environmental science; Zoology; Physics; Mathematics; Meteorology; Nonlinear system","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":[0.0002078981,0.0001239782,0.0002704392,0.000006036041,0.0001429607,0.000007873216,0.0002844182,0.0001112191,0.0002093543],"category_scores_gemma":[0.00001179157,0.00005240102,0.0001011896,0.0002203347,0.002075905,0.00005867419,0.00005743182,0.0001905804,0.000002307328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001943373,"about_ca_system_score_gemma":0.000006885742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001597145,"about_ca_topic_score_gemma":0.000002288546,"domain_scores_codex":[0.9989534,0.00007207217,0.0002295362,0.0003202619,0.0002086117,0.0002161418],"domain_scores_gemma":[0.9995256,0.0002480416,0.00005675238,0.00009496091,0.00000720397,0.00006743751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003959316,0.0001867482,0.3089072,0.00001539591,0.00001618746,7.670081e-8,0.0001996147,0.01391383,0.6757886,0.00005831784,1.701571e-7,0.000874242],"study_design_scores_gemma":[0.0004160541,0.0006694588,0.9545002,0.00004573172,0.000022043,8.668619e-7,0.0002838169,0.005115313,0.02702684,0.01169174,0.00001394961,0.0002140042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976946,0.0000617303,0.0002104268,0.001312974,0.00001137635,0.0002018097,0.00001323758,0.00001077903,0.000483075],"genre_scores_gemma":[0.9986069,0.0000152736,0.001222025,0.0001182083,0.00001299861,0.000008270375,8.455092e-7,0.000002577974,0.00001289137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6487617,"threshold_uncertainty_score":0.7648758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249606364924883,"score_gpt":0.2296229663455752,"score_spread":0.2071269026963264,"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."}}