{"id":"W6924590765","doi":"10.15468/dl.v32ykn","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 collection","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":[0.00100331,0.002029141,0.001661275,0.005215962,0.001071867,0.002446284,0.002930509,0.00209178,0.1489534],"category_scores_gemma":[0.005915313,0.0009211396,0.001235083,0.01019797,0.000451524,0.002289057,0.002485471,0.001985688,0.2059915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123942,"about_ca_system_score_gemma":0.00312671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04528293,"about_ca_topic_score_gemma":0.0778629,"domain_scores_codex":[0.9989263,0.0001375715,0.0001265494,0.0003756575,0.0002444333,0.0001892987],"domain_scores_gemma":[0.9971602,0.0006997678,0.0002422545,0.0007440991,0.000808291,0.0003453935],"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":[0.00002778182,0.000009786696,0.0003206433,0.0004937485,0.00001444398,0.00001287042,0.00001932556,0.0001110424,0.0001110828,0.0003301532,0.9972926,0.001256401],"study_design_scores_gemma":[0.00006881455,0.000007675277,0.001952445,0.0001919506,0.00001442566,0.00003143516,0.00006037482,0.0001333915,0.000181496,0.0006793725,0.9966599,0.00001885715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003431359,0.00002626968,0.00003582451,0.00003016631,0.00001020218,0.000004966884,0.9989918,0.0003247852,0.000541682],"genre_scores_gemma":[0.0001398675,0.00003137316,0.0001688337,0.00004013236,0.000003084704,0.00003365852,0.9990484,0.0001208168,0.0004137857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510466,"threshold_uncertainty_score":0.4982989,"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."}}