{"id":"W7079473322","doi":"10.15468/dl.386s8f","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008366829,0.001850131,0.001461838,0.004568741,0.0009864066,0.002766205,0.002672538,0.001828327,0.1649709],"category_scores_gemma":[0.005687919,0.0008396679,0.00126732,0.008793731,0.0003974197,0.002483035,0.002553072,0.001869414,0.2526715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519987,"about_ca_system_score_gemma":0.002280725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206637,"about_ca_topic_score_gemma":0.0329421,"domain_scores_codex":[0.9989954,0.0001222466,0.000127301,0.0003559718,0.0002252703,0.0001737851],"domain_scores_gemma":[0.9978653,0.0005372838,0.000167967,0.0005944922,0.0006033824,0.0002317032],"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":[0.0000275633,0.000009911364,0.000377825,0.0004229894,0.0000125755,0.00001524686,0.00002221219,0.0001262655,0.0001048277,0.000383634,0.9965862,0.001910836],"study_design_scores_gemma":[0.00005123834,0.000006793861,0.001537118,0.0001451918,0.00001069473,0.00003318728,0.00007100488,0.0002011342,0.0001840575,0.0008036997,0.9969408,0.00001509758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005291605,0.00003254537,0.00007191164,0.00004725327,0.00001716233,0.000006715861,0.9980649,0.0007824555,0.0009241129],"genre_scores_gemma":[0.0001940354,0.00003930477,0.0002697604,0.0000524784,0.000004454045,0.0000416292,0.9985414,0.0002261605,0.0006308162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8350291,"threshold_uncertainty_score":0.5518827,"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."}}