{"id":"W6924773433","doi":"10.15468/dl.nvwngy","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001064774,0.001985634,0.001634144,0.00569463,0.001005908,0.002734058,0.002847232,0.001924078,0.1732894],"category_scores_gemma":[0.006326946,0.0009203947,0.001201473,0.01126051,0.0004540984,0.002430749,0.002699084,0.001997315,0.2503728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624729,"about_ca_system_score_gemma":0.002531978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190759,"about_ca_topic_score_gemma":0.03704371,"domain_scores_codex":[0.9988374,0.0001597669,0.0001546351,0.0003880602,0.0002642548,0.0001959001],"domain_scores_gemma":[0.9972656,0.0007167725,0.0002609467,0.0007165672,0.0007175601,0.0003226016],"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":[0.00002838448,0.000009730775,0.0003029498,0.0005206706,0.00001431448,0.00001260498,0.0000197112,0.00009873833,0.0001053844,0.0003606948,0.9971103,0.001416431],"study_design_scores_gemma":[0.00005797601,0.000006911526,0.00150554,0.0001762462,0.00001319375,0.00003057525,0.00005627787,0.00009913528,0.0001609563,0.0006942182,0.9971835,0.00001541994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003321496,0.00002819076,0.00003807634,0.00003231112,0.00001104719,0.000004849972,0.9988452,0.0003247285,0.0006823439],"genre_scores_gemma":[0.000134736,0.00003551402,0.0001653389,0.00004545637,0.000003510638,0.00003429254,0.9989875,0.0001344652,0.0004592008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8267106,"threshold_uncertainty_score":0.5797107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}