{"id":"W6962017280","doi":"10.15468/dl.amnx7m","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); Range (aeronautics); Invasive species","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":[0.0008686152,0.00210305,0.001590195,0.004669418,0.001003748,0.002654593,0.002989419,0.002185707,0.1393931],"category_scores_gemma":[0.005482284,0.0009077339,0.001274311,0.00934347,0.0004282699,0.002485892,0.002591161,0.002020614,0.2141714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721248,"about_ca_system_score_gemma":0.002216068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112078,"about_ca_topic_score_gemma":0.03467516,"domain_scores_codex":[0.9990059,0.0001292526,0.0001236072,0.0003659128,0.0002131588,0.0001622063],"domain_scores_gemma":[0.9979922,0.0005375608,0.0001820289,0.000546408,0.0005000827,0.0002418853],"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":[0.00003115285,0.00001236682,0.0004132757,0.0006215873,0.00001635998,0.00001591443,0.00002300939,0.000141211,0.0001095908,0.0003680265,0.9966195,0.001627943],"study_design_scores_gemma":[0.00007469273,0.000009577953,0.001884191,0.0001990638,0.00001580892,0.00004237194,0.0000724473,0.000212831,0.0001872055,0.0007881376,0.9964957,0.00001798509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004607489,0.00003710106,0.00004717337,0.00003983101,0.00001288816,0.000005327795,0.9987147,0.0004771769,0.0006197314],"genre_scores_gemma":[0.0001633103,0.00003883889,0.0002058461,0.00004674069,0.000003449252,0.00003733326,0.9989396,0.000131153,0.0004336723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606069,"threshold_uncertainty_score":0.4663163,"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."}}