{"id":"W6924298403","doi":"10.15468/dl.7s6bny","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); 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":[0.0008901202,0.001950761,0.001486182,0.00465393,0.001038813,0.002545397,0.002857325,0.001946913,0.1491597],"category_scores_gemma":[0.005827557,0.0008924046,0.001247021,0.009171681,0.0004412167,0.002336801,0.002518578,0.002054447,0.2115023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617347,"about_ca_system_score_gemma":0.002235334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451062,"about_ca_topic_score_gemma":0.0409533,"domain_scores_codex":[0.9990553,0.0001198441,0.0001192053,0.0003306693,0.000220178,0.0001546882],"domain_scores_gemma":[0.9978361,0.000610815,0.0001926873,0.000577835,0.0005391812,0.0002434572],"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":[0.00002727547,0.00001129981,0.0003857097,0.0004752148,0.00001434092,0.00001587374,0.00002556472,0.0001282328,0.0001104039,0.0003742013,0.996911,0.001520899],"study_design_scores_gemma":[0.00006505825,0.000007579625,0.001815199,0.0001786442,0.00001392157,0.00004091739,0.0000821961,0.0001781151,0.0001897529,0.0007679961,0.9966439,0.00001675449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004773647,0.0000290239,0.00005400652,0.00004020239,0.00001332003,0.000005643253,0.9985904,0.0004989469,0.000720684],"genre_scores_gemma":[0.0001658985,0.0000313308,0.000217935,0.0000427891,0.000003217281,0.00003904211,0.9988798,0.000165494,0.000454531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8508403,"threshold_uncertainty_score":0.498989,"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."}}