{"id":"W6962325274","doi":"10.15468/dl.v2j3xt","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 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":[0.00100488,0.001823187,0.00151244,0.005338099,0.0008966851,0.002452107,0.002532123,0.001794004,0.1868142],"category_scores_gemma":[0.006337008,0.0008853345,0.001130492,0.01036155,0.0004281878,0.002208695,0.002670981,0.001745532,0.2418387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549119,"about_ca_system_score_gemma":0.002314746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253005,"about_ca_topic_score_gemma":0.03827662,"domain_scores_codex":[0.9989187,0.0001374702,0.0001486262,0.0003667245,0.0002412598,0.0001873036],"domain_scores_gemma":[0.9973276,0.0007088183,0.000263032,0.0006921028,0.0006865466,0.0003218976],"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":[0.00002955225,0.000008880441,0.0003622394,0.0005691884,0.000015378,0.00001418787,0.00002235945,0.0001083281,0.0001240715,0.0003608244,0.9969569,0.001428119],"study_design_scores_gemma":[0.00006715528,0.000007496276,0.001937038,0.0001868644,0.00001395396,0.00003201583,0.0000640964,0.0001107914,0.0001717453,0.0006522096,0.9967414,0.00001540379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003255711,0.00002154791,0.00003565568,0.0000269495,0.00001035206,0.000004661689,0.99898,0.0002997533,0.0005886193],"genre_scores_gemma":[0.0001433522,0.00002893899,0.0001658548,0.00003794636,0.000003432379,0.00003540762,0.9990177,0.0001324496,0.0004348992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8131858,"threshold_uncertainty_score":0.6249557,"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."}}