{"id":"W4416389477","doi":"10.1038/s41597-025-06130-1","title":"Global dataset for realized thermal and aridity niche limits for terrestrial vertebrates","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Niche; Arid; Climate change; Range (aeronautics); Macroecology; Extinction (optical mineralogy); Ecological niche; Population; Environmental change","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000795509,0.0008264517,0.0007125278,0.002712526,0.0004322858,0.0009011136,0.001244753,0.001022011,0.01576171],"category_scores_gemma":[0.003811806,0.0003803989,0.0007225513,0.005048865,0.0002341218,0.0008066164,0.001328695,0.001105311,0.01114763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006305204,"about_ca_system_score_gemma":0.0009634909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534801,"about_ca_topic_score_gemma":0.03046087,"domain_scores_codex":[0.9994492,0.00006627238,0.0001034674,0.0001919646,0.0001226313,0.0000665187],"domain_scores_gemma":[0.9979504,0.0004125055,0.000620337,0.0003093967,0.0005099676,0.0001974399],"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":[0.0002042752,0.00008932759,0.08284315,0.001958514,0.0003366569,0.0001607159,0.0003021971,0.003018589,0.001761911,0.002513126,0.8859476,0.02086393],"study_design_scores_gemma":[0.0001918062,0.00003966393,0.1866193,0.0004580675,0.00009783833,0.0002781556,0.0003105901,0.002355227,0.0007480062,0.002355947,0.8064697,0.00007570634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002522528,0.0001085906,0.0003052655,0.00006511052,0.00001410092,0.00001266548,0.9957405,0.000192516,0.001038612],"genre_scores_gemma":[0.00500003,0.00007521651,0.001233551,0.00005604669,0.000009620627,0.0001051365,0.9931063,0.00004572217,0.0003683635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01576171,"threshold_uncertainty_score":0.05272818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09821407305433746,"score_gpt":0.3473951902289647,"score_spread":0.2491811171746272,"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."}}