{"id":"W6924802855","doi":"10.15468/dl.kuzkwj","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0009355021,0.002252566,0.001561334,0.004422892,0.0009948324,0.002461119,0.003038631,0.001960366,0.1259457],"category_scores_gemma":[0.005638207,0.0009084326,0.001242729,0.008668008,0.0004557084,0.002268909,0.002560531,0.001980534,0.1824613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686902,"about_ca_system_score_gemma":0.002544827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386181,"about_ca_topic_score_gemma":0.0410299,"domain_scores_codex":[0.9990069,0.0001326789,0.0001347535,0.0003539789,0.0002182194,0.0001534343],"domain_scores_gemma":[0.9979818,0.000535057,0.0001884867,0.0005272017,0.0005163895,0.0002510831],"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":[0.00004084198,0.00001465026,0.0004284677,0.0005909313,0.00001719694,0.00001841198,0.00002596393,0.0001600198,0.0001405267,0.0004711695,0.9964041,0.001687734],"study_design_scores_gemma":[0.00008701463,0.000009979734,0.001649552,0.0001759465,0.00001527218,0.00004340808,0.00006962425,0.0002233829,0.0002284592,0.000900197,0.996578,0.00001916357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005814789,0.00003453274,0.00005994252,0.00003740929,0.00001195249,0.000006532381,0.9984627,0.0006123438,0.0007164421],"genre_scores_gemma":[0.0001667343,0.00003628089,0.0002542867,0.00004394117,0.000002713619,0.00003516598,0.9988638,0.0001676701,0.0004293669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8740543,"threshold_uncertainty_score":0.4213305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}