{"id":"W7089708722","doi":"10.15468/dl.xkpfwh","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001103843,0.002056581,0.001743331,0.004864783,0.001009821,0.002754444,0.003076663,0.002153251,0.158264],"category_scores_gemma":[0.006265861,0.0009642062,0.001139654,0.009376959,0.0004723255,0.002324752,0.002620876,0.002094773,0.2195104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724249,"about_ca_system_score_gemma":0.002372595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026909,"about_ca_topic_score_gemma":0.03263411,"domain_scores_codex":[0.999001,0.0001416485,0.0001329278,0.0003470943,0.0002233469,0.0001541302],"domain_scores_gemma":[0.9977501,0.0006523295,0.0002051241,0.0005747806,0.0005347892,0.000282869],"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":[0.00003506322,0.00001266513,0.00038295,0.000590215,0.00001760493,0.00001695851,0.000023796,0.0001469392,0.0001165043,0.0004308301,0.9967525,0.001473953],"study_design_scores_gemma":[0.00009112819,0.000007960552,0.001699008,0.0002014734,0.00001577716,0.00003688941,0.00006893624,0.0001858726,0.0001926874,0.0008713357,0.9966111,0.00001786484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000397097,0.00002772694,0.00004584507,0.00003363546,0.000009367544,0.000005467882,0.9988858,0.0003864666,0.000565952],"genre_scores_gemma":[0.0001539152,0.00003323999,0.000201666,0.00003951832,0.000002805203,0.00003787241,0.9989917,0.0001439046,0.0003955169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417361,"threshold_uncertainty_score":0.5294456,"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."}}