{"id":"W7106840868","doi":"10.15468/dl.m3xyua","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); Polygon (computer graphics); Range (aeronautics)","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":[0.0009087966,0.001788207,0.001641371,0.005270478,0.00107934,0.002772247,0.002773687,0.002056651,0.1840318],"category_scores_gemma":[0.006700708,0.0009272255,0.001196151,0.009824886,0.0003937792,0.002533834,0.002657968,0.001933646,0.2428759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675136,"about_ca_system_score_gemma":0.002520001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055985,"about_ca_topic_score_gemma":0.03369483,"domain_scores_codex":[0.9988337,0.0001372349,0.0001568216,0.0004137046,0.0002640037,0.0001945999],"domain_scores_gemma":[0.9974176,0.0007023412,0.0002442828,0.0006587756,0.0007043391,0.0002726575],"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":[0.00003182561,0.00001060644,0.0004591193,0.0006564631,0.00001588831,0.00001659046,0.00002367125,0.0001160073,0.0001204559,0.0004271406,0.9962085,0.001913677],"study_design_scores_gemma":[0.00005697181,0.000007295424,0.001631607,0.0001969532,0.00001345509,0.00003526779,0.00006934205,0.0001360577,0.0001718451,0.0006660424,0.9969995,0.00001584109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003921969,0.00003081452,0.00004844213,0.00003714106,0.00001201258,0.000004698723,0.9987144,0.000429759,0.0006834437],"genre_scores_gemma":[0.0001644358,0.00004194301,0.0002238236,0.00004924659,0.000003807418,0.00003978256,0.9987403,0.0001666213,0.0005700046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8159682,"threshold_uncertainty_score":0.6156476,"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."}}