{"id":"W4416475311","doi":"10.1038/s41597-025-06286-w","title":"AmphiTherm: a comprehensive database of amphibian thermal tolerance and preference","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Environment and Climate Change Canada","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; University of New South Wales; Department of Education and Training; Deutsche Forschungsgemeinschaft; Wenner-Gren Foundation","keywords":"Ectotherm; Amphibian; Biodiversity; Preference; Trait; Resource (disambiguation)","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":[0.001306947,0.0007705251,0.001105258,0.01309433,0.0005152131,0.001221459,0.0009591993,0.0006565452,0.0106289],"category_scores_gemma":[0.008214886,0.000438334,0.0009641911,0.0105932,0.0003412233,0.002141086,0.002096036,0.0007792531,0.003959172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526564,"about_ca_system_score_gemma":0.001941158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083178,"about_ca_topic_score_gemma":0.01400883,"domain_scores_codex":[0.998746,0.0002558475,0.0004221427,0.0002747173,0.0002336682,0.00006752042],"domain_scores_gemma":[0.9942967,0.002319286,0.001694106,0.0005053901,0.0008776432,0.0003068206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001289419,0.0001643704,0.1302419,0.09119473,0.00184663,0.001219611,0.004033482,0.002475337,0.01937287,0.00616346,0.2879077,0.4540904],"study_design_scores_gemma":[0.00007413968,0.00009522067,0.1427642,0.00553519,0.0008970384,0.001051831,0.0004927557,0.0005529483,0.001564359,0.001912646,0.8449467,0.0001129648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03323306,0.02816731,0.006416542,0.0003552655,0.00008951378,0.0002233549,0.9195539,0.001892403,0.01006872],"genre_scores_gemma":[0.05303483,0.01683551,0.03336308,0.0004901666,0.0001186345,0.001040355,0.8923808,0.0006943537,0.002042301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01309433,"threshold_uncertainty_score":0.03555727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04953360695434261,"score_gpt":0.2723470102566372,"score_spread":0.2228134033022946,"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."}}