{"id":"W7080173834","doi":"10.15468/dl.4jnt86","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; Confidentiality","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":[0.0008829365,0.002019865,0.001495605,0.004811015,0.0008919673,0.002407555,0.002787614,0.001980226,0.1201774],"category_scores_gemma":[0.005198861,0.0008493699,0.001127767,0.009194211,0.0004289919,0.002105053,0.002333475,0.001923514,0.1810551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637352,"about_ca_system_score_gemma":0.002172764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126555,"about_ca_topic_score_gemma":0.03478738,"domain_scores_codex":[0.9990085,0.0001314328,0.0001261928,0.0003377826,0.0002304288,0.0001656061],"domain_scores_gemma":[0.9979848,0.0005098099,0.0001942121,0.0005451256,0.0005114232,0.0002547179],"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":[0.00003175278,0.00001196398,0.0003504106,0.0004748895,0.00001516207,0.0000150461,0.00001858583,0.0001434409,0.0001154775,0.0003803207,0.9970549,0.001388091],"study_design_scores_gemma":[0.00008227852,0.000008761999,0.001884257,0.0001679225,0.00001400383,0.0000403195,0.00005871792,0.0002028095,0.0002222412,0.000823934,0.9964785,0.00001632951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980224,0.00003023258,0.00004160344,0.00003620672,0.00001058604,0.00000566671,0.9987774,0.0004169819,0.0006314788],"genre_scores_gemma":[0.0001700035,0.00003224689,0.0001626856,0.00004388745,0.000003001815,0.00003397954,0.9990496,0.0001214361,0.0003831466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8798226,"threshold_uncertainty_score":0.4020336,"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."}}