{"id":"W7105209970","doi":"10.15468/dl.zbnnhr","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 modeling","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":[0.0009912107,0.001877175,0.001553058,0.005383666,0.0009775581,0.002563218,0.002726485,0.001960177,0.1593646],"category_scores_gemma":[0.006123347,0.0008704616,0.001129799,0.01030462,0.0004485191,0.002205885,0.002664195,0.00187651,0.2158288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164932,"about_ca_system_score_gemma":0.002532625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02480644,"about_ca_topic_score_gemma":0.03967851,"domain_scores_codex":[0.9988934,0.000143859,0.000143834,0.0003685689,0.0002551055,0.0001952121],"domain_scores_gemma":[0.9974208,0.0006627069,0.0002608246,0.0006793652,0.0006600651,0.0003163077],"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":[0.00003134931,0.00001057927,0.0003742544,0.0005471501,0.00001506582,0.00001369741,0.00002345954,0.0001043164,0.0001206721,0.0003822999,0.9969198,0.001457531],"study_design_scores_gemma":[0.00006508364,0.000007493736,0.001934254,0.0001918567,0.00001390642,0.00003253259,0.00006709636,0.0001146165,0.0001878594,0.0006721023,0.9966972,0.00001602363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000382427,0.00002532166,0.00003426017,0.00003075725,0.00000995441,0.000004585122,0.9989348,0.0003225218,0.0005994963],"genre_scores_gemma":[0.0001545204,0.00003138904,0.0001601905,0.00004205212,0.000003214676,0.00003379499,0.9990109,0.0001293817,0.0004344813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406354,"threshold_uncertainty_score":0.5331278,"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."}}