{"id":"W7083423832","doi":"10.15468/dl.q9f6s8","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.001044278,0.00222309,0.001751582,0.005182185,0.0009652191,0.002756858,0.003042232,0.002234422,0.1303455],"category_scores_gemma":[0.005911347,0.0009401243,0.00118898,0.009712388,0.0004763326,0.002280405,0.002653369,0.002003909,0.1950355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751655,"about_ca_system_score_gemma":0.002333513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074949,"about_ca_topic_score_gemma":0.03397804,"domain_scores_codex":[0.9989022,0.000151865,0.0001480925,0.0003863262,0.0002379953,0.0001733908],"domain_scores_gemma":[0.9976754,0.0006360394,0.0002335977,0.0006110161,0.000556819,0.0002871134],"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":[0.00004349951,0.00001360812,0.0004581388,0.0007467553,0.00002207875,0.00002051241,0.00002437505,0.0001742607,0.0001529917,0.000446462,0.9963474,0.001550032],"study_design_scores_gemma":[0.00009310948,0.000009330766,0.001897924,0.000217484,0.00001744208,0.00004378565,0.00006447604,0.0001829976,0.0002177136,0.000833376,0.9964035,0.0000188414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004444831,0.00003290664,0.00003830522,0.0000321477,0.000009470408,0.000005120365,0.9989177,0.0003794192,0.0005403585],"genre_scores_gemma":[0.0001651518,0.00003621851,0.0001668657,0.00004443979,0.000002897233,0.00003206457,0.9990835,0.0001248089,0.0003440343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303455,"threshold_uncertainty_score":0.436049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006943062393841301,"score_gpt":0.2093386883561055,"score_spread":0.2023956259622642,"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."}}