{"id":"W6905707599","doi":"10.15468/dl.7g6w6j","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009842536,0.001882242,0.001497122,0.005661127,0.0009885079,0.002580325,0.002715913,0.001687049,0.183646],"category_scores_gemma":[0.005870573,0.000940644,0.001066127,0.01072731,0.0004337677,0.002246189,0.002702833,0.00176665,0.2230619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008852,"about_ca_system_score_gemma":0.003019654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03695146,"about_ca_topic_score_gemma":0.06045621,"domain_scores_codex":[0.999047,0.0001101029,0.0001160825,0.0003112872,0.0002313171,0.0001842301],"domain_scores_gemma":[0.997629,0.0005636009,0.0002381439,0.000602023,0.0006714195,0.0002958615],"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":[0.00002413286,0.000007581137,0.0003189789,0.0005029183,0.00001204267,0.0000122842,0.00002226378,0.00009192096,0.00009392069,0.0004205783,0.9971251,0.001368321],"study_design_scores_gemma":[0.00004933067,0.000005103747,0.001644139,0.000203639,0.00001121672,0.00002543465,0.00005980054,0.00008904851,0.0001592912,0.0006346101,0.9971041,0.00001437687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002599443,0.0000192529,0.00003333751,0.00002378232,0.000008382733,0.000004340207,0.9988794,0.0003189683,0.0006864519],"genre_scores_gemma":[0.0001410773,0.00002956693,0.000184403,0.00003726925,0.000002736598,0.00003347565,0.998922,0.0001596822,0.0004898574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.816354,"threshold_uncertainty_score":0.6143571,"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."}}