{"id":"W6906166470","doi":"10.15468/dl.x8kf3t","title":"Occurrence Download","year":2025,"lang":"en","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); Listing (finance); Range (aeronautics); 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":[0.001061541,0.001919867,0.001560454,0.004994314,0.001121761,0.002565331,0.002909961,0.001992651,0.1866311],"category_scores_gemma":[0.006722352,0.0009956345,0.001241617,0.008816495,0.0004826914,0.002366068,0.002971875,0.00201007,0.2367049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782777,"about_ca_system_score_gemma":0.002631548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585017,"about_ca_topic_score_gemma":0.04358876,"domain_scores_codex":[0.9989958,0.0001249649,0.0001265183,0.0003475296,0.0002276973,0.0001774575],"domain_scores_gemma":[0.9973639,0.0007058477,0.0002388386,0.0007087151,0.0006831055,0.0002996156],"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":[0.00002555096,0.000009548353,0.0003476796,0.0004822541,0.00001311107,0.00001260993,0.00002379873,0.000100304,0.0000996894,0.0003775008,0.9971215,0.001386372],"study_design_scores_gemma":[0.00006826467,0.000007513645,0.001862903,0.0002239382,0.00001415124,0.00003405471,0.0000724993,0.000135144,0.0001818176,0.0007872596,0.9965957,0.00001673209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000318841,0.0000204216,0.00004250405,0.00003158742,0.00001068249,0.000005099073,0.9988918,0.0003719145,0.00059414],"genre_scores_gemma":[0.0001464528,0.000029538,0.0002132213,0.00004595566,0.000003119553,0.00004298598,0.9988691,0.0001694403,0.0004801524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8133689,"threshold_uncertainty_score":0.6243432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}