{"id":"W6961907583","doi":"10.15468/dl.c3vpnb","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008587038,0.00222102,0.001515916,0.004507944,0.0009705774,0.002390601,0.002823228,0.002048255,0.1192334],"category_scores_gemma":[0.005689947,0.000844782,0.001330842,0.00862607,0.0004530943,0.002035232,0.002390651,0.001922794,0.1869482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654964,"about_ca_system_score_gemma":0.002377284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400883,"about_ca_topic_score_gemma":0.04086486,"domain_scores_codex":[0.9990386,0.0001307782,0.0001263098,0.0003475723,0.0002072029,0.0001495087],"domain_scores_gemma":[0.9979845,0.0005580903,0.0001919996,0.0005223686,0.0005160761,0.0002268454],"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":[0.00003854336,0.00001387127,0.0004652439,0.0006026198,0.00001723248,0.00001791821,0.00002572961,0.000169684,0.0001426436,0.000404337,0.9963306,0.001771497],"study_design_scores_gemma":[0.00008307586,0.00001055859,0.001964568,0.0001942293,0.00001670011,0.00004605555,0.00007181263,0.0002273578,0.0002216495,0.0008274602,0.9963174,0.00001908739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005721147,0.00003976695,0.0000527706,0.00004006479,0.00001323003,0.00000625129,0.9985521,0.0005707661,0.0006677681],"genre_scores_gemma":[0.0001661781,0.00004006623,0.0002294282,0.00004576646,0.00000329808,0.00003689494,0.9989092,0.0001447609,0.0004243791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8807666,"threshold_uncertainty_score":0.3988755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260547749025013,"score_gpt":0.2495559060717336,"score_spread":0.2369504285814835,"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."}}