{"id":"W7082359193","doi":"10.15468/dl.w9bt78","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Order (exchange)","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":[0.0008911947,0.00211464,0.001516188,0.005018935,0.0008993432,0.002403226,0.002804168,0.001993774,0.1174518],"category_scores_gemma":[0.005309172,0.0008600909,0.001156221,0.009559661,0.000443445,0.002166565,0.002453523,0.001889403,0.1762457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696841,"about_ca_system_score_gemma":0.002316447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226589,"about_ca_topic_score_gemma":0.03685236,"domain_scores_codex":[0.9989834,0.0001315202,0.0001388035,0.0003399216,0.0002334286,0.0001728632],"domain_scores_gemma":[0.9978837,0.0005277009,0.0002070482,0.0005769551,0.0005411547,0.0002633937],"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":[0.00003495885,0.00001245923,0.0003813502,0.0005322605,0.00001641914,0.00001787222,0.00002165853,0.0001505937,0.0001347959,0.0004146143,0.9968373,0.001445775],"study_design_scores_gemma":[0.00008244944,0.000008579712,0.001886005,0.000169604,0.00001428737,0.00004229547,0.00006260255,0.0001922547,0.0002294814,0.0007756071,0.9965203,0.00001659746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005209369,0.00003042492,0.00004331939,0.00003673875,0.00001090951,0.000005885768,0.9987221,0.0004594095,0.0006390793],"genre_scores_gemma":[0.0001700345,0.00003173287,0.0001633416,0.00004213893,0.000002864403,0.00003243982,0.9990799,0.0001240362,0.0003535665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8825482,"threshold_uncertainty_score":0.3929152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}