{"id":"W6943700749","doi":"10.15468/dl.zdv3mf","title":"Occurrence Download","year":2023,"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); Alien","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":[0.0009129163,0.00180495,0.001565106,0.004713031,0.001015155,0.002482587,0.002661964,0.002071985,0.1535649],"category_scores_gemma":[0.005595155,0.0008580225,0.001242928,0.009427892,0.0004530242,0.002399245,0.00253954,0.001957302,0.224269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550238,"about_ca_system_score_gemma":0.00227649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256675,"about_ca_topic_score_gemma":0.03810045,"domain_scores_codex":[0.9989997,0.0001418407,0.0001232589,0.000354962,0.0002134317,0.0001668454],"domain_scores_gemma":[0.9974772,0.000705618,0.0002261615,0.0006797105,0.0006357027,0.0002755476],"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":[0.00002907676,0.00001178832,0.0003849339,0.0005519453,0.00001296217,0.00001522143,0.00002448523,0.0001190317,0.0001151178,0.0003505665,0.9968947,0.001490186],"study_design_scores_gemma":[0.0000641335,0.000008691942,0.001926597,0.0001978224,0.00001292342,0.00003452186,0.00008019402,0.0001443404,0.0001734212,0.0006956293,0.9966452,0.00001659612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000475958,0.00002959456,0.00004231837,0.00004035652,0.00001342765,0.00000586314,0.9987404,0.0003921728,0.0006882978],"genre_scores_gemma":[0.0001716285,0.00003729499,0.000206487,0.00004762417,0.00000393326,0.00004326138,0.9988478,0.0001432187,0.0004987758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464351,"threshold_uncertainty_score":0.5137259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}