{"id":"W6962306679","doi":"10.15468/dl.d6xmbe","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":[0.0009436727,0.00228407,0.001562599,0.004323226,0.0009981389,0.00248074,0.003071256,0.001971162,0.1262375],"category_scores_gemma":[0.00563648,0.0009036693,0.001248515,0.008510454,0.0004492698,0.002288732,0.002527236,0.002005264,0.1844183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657905,"about_ca_system_score_gemma":0.002500209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361548,"about_ca_topic_score_gemma":0.04129776,"domain_scores_codex":[0.9989927,0.0001350962,0.0001330243,0.0003620892,0.0002234945,0.0001534714],"domain_scores_gemma":[0.9979867,0.0005357885,0.0001828084,0.0005264025,0.0005207715,0.0002474829],"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":[0.00003814267,0.00001423756,0.000415839,0.0005357591,0.0000164968,0.00001760668,0.00002376647,0.0001605747,0.000127006,0.0004443978,0.9965815,0.001624724],"study_design_scores_gemma":[0.00008823453,0.000010003,0.001622713,0.0001693498,0.00001530737,0.00004421808,0.00006923474,0.0002432018,0.0002269165,0.0009557607,0.9965357,0.00001928628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005707824,0.00003405071,0.00006057467,0.0000383791,0.00001203701,0.00000629655,0.9984668,0.0006145564,0.0007101662],"genre_scores_gemma":[0.000165165,0.00003509482,0.0002563148,0.00004321062,0.000002758698,0.00003379693,0.9988723,0.0001639214,0.0004273822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8737625,"threshold_uncertainty_score":0.4223066,"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."}}