{"id":"W7108331410","doi":"10.15468/dl.mc23e2","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 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":[0.001053826,0.001798406,0.001569162,0.004750069,0.00112417,0.002639825,0.002870102,0.00216894,0.1682353],"category_scores_gemma":[0.006798414,0.0009030655,0.001188021,0.00901465,0.0004704151,0.002487283,0.002650143,0.002113838,0.2267517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175672,"about_ca_system_score_gemma":0.002439958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472834,"about_ca_topic_score_gemma":0.03937104,"domain_scores_codex":[0.9989195,0.000139139,0.0001397478,0.0003717208,0.0002516975,0.0001781],"domain_scores_gemma":[0.9970938,0.0008263422,0.0002618353,0.0007484988,0.0007489647,0.0003205577],"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":[0.00002658289,0.00001126738,0.0003702876,0.0004689383,0.00001252624,0.00001386667,0.00002415735,0.0001059813,0.0001019497,0.0003725391,0.9971053,0.001386668],"study_design_scores_gemma":[0.00006488097,0.000007576661,0.001875871,0.0001950349,0.00001280367,0.00003317996,0.00007930317,0.00014772,0.0001767274,0.0007279069,0.9966618,0.00001733888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004166791,0.00002325079,0.00004481694,0.00004024697,0.00001285116,0.000005718811,0.9987306,0.0004066212,0.0006941848],"genre_scores_gemma":[0.0001610496,0.00002977054,0.0002071669,0.00005066942,0.000003666376,0.00004278267,0.9988117,0.0001620743,0.0005310998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317647,"threshold_uncertainty_score":0.5628031,"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."}}