{"id":"W7106815496","doi":"10.15468/dl.r5aj3y","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":[],"consensus_categories":[],"category_scores_codex":[0.000912106,0.001791568,0.001643527,0.005304209,0.001081988,0.002780848,0.002780547,0.002055368,0.183935],"category_scores_gemma":[0.006721309,0.0009298619,0.001201804,0.009885903,0.0003947225,0.002531078,0.002660629,0.001933814,0.2423524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676325,"about_ca_system_score_gemma":0.002527607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058437,"about_ca_topic_score_gemma":0.033679,"domain_scores_codex":[0.9988251,0.0001379676,0.0001584526,0.0004165414,0.0002661888,0.0001956401],"domain_scores_gemma":[0.9974138,0.0007023918,0.0002450049,0.0006605166,0.0007054025,0.0002728508],"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":[0.00003185378,0.00001061416,0.0004606513,0.0006550245,0.0000160004,0.00001658579,0.00002362781,0.0001164742,0.0001202569,0.0004286474,0.9962072,0.001912945],"study_design_scores_gemma":[0.00005708923,0.000007243442,0.001628845,0.0001960008,0.00001349667,0.00003521868,0.00006909628,0.0001360672,0.0001716519,0.0006661873,0.9970033,0.00001583914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918622,0.00003069646,0.00004869275,0.00003700324,0.00001204471,0.000004685459,0.9987162,0.0004302732,0.0006812458],"genre_scores_gemma":[0.0001641053,0.00004184534,0.0002245842,0.00004888709,0.000003811655,0.00003977556,0.9987416,0.0001674978,0.0005679507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.183935,"threshold_uncertainty_score":0.615324,"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."}}