{"id":"W7114994470","doi":"10.15468/dl.eguh5v","title":"Occurrence Download","year":2025,"lang":"","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":[0.001002224,0.001830806,0.001608836,0.005482887,0.0009528143,0.002584684,0.00271321,0.001916389,0.1660632],"category_scores_gemma":[0.006202112,0.0008854585,0.001120603,0.01033494,0.0004472063,0.002247822,0.002475706,0.001918489,0.2062605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152359,"about_ca_system_score_gemma":0.002391263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286645,"about_ca_topic_score_gemma":0.03571428,"domain_scores_codex":[0.9989727,0.000132878,0.0001365827,0.0003549774,0.0002336983,0.0001692909],"domain_scores_gemma":[0.9974227,0.0007545375,0.0002534227,0.0006350657,0.0006258952,0.0003083881],"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":[0.00003038549,0.00001079107,0.0003948263,0.0005873493,0.00001628274,0.0000159076,0.00002481382,0.000114444,0.0001225196,0.0003848446,0.9968304,0.001467342],"study_design_scores_gemma":[0.00007155455,0.000007693756,0.002062181,0.0002094355,0.00001587897,0.00003986216,0.00007428046,0.0001271877,0.0001910434,0.0007228863,0.9964598,0.00001828198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003943418,0.00002541543,0.00004053032,0.00003105165,0.00001061629,0.000004844064,0.9989176,0.0003417185,0.000588802],"genre_scores_gemma":[0.0001705546,0.00003321094,0.0001797057,0.0000437315,0.000003459626,0.00003902382,0.9989519,0.0001476715,0.0004306747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339368,"threshold_uncertainty_score":0.5555366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}