{"id":"W6924676320","doi":"10.15468/dl.qz5p66","title":"Occurrence Download","year":2022,"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); Confidentiality; 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":[0.001022121,0.00196296,0.001619981,0.005150418,0.001016888,0.002731472,0.002709412,0.00209226,0.1756982],"category_scores_gemma":[0.006370615,0.0009072795,0.001220112,0.009665696,0.0004492537,0.002343972,0.002594418,0.001929929,0.2444888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514067,"about_ca_system_score_gemma":0.002280034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056566,"about_ca_topic_score_gemma":0.03186657,"domain_scores_codex":[0.9989679,0.0001436635,0.0001292755,0.0003666471,0.0002204094,0.0001720164],"domain_scores_gemma":[0.9972891,0.0008273774,0.0002413855,0.0006869838,0.0006600477,0.0002952036],"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":[0.00002730552,0.00001116695,0.000407053,0.0005414984,0.00001414225,0.00001564905,0.00002325372,0.0001151484,0.0001083524,0.0003391643,0.9970035,0.001393789],"study_design_scores_gemma":[0.00007415011,0.000009270217,0.002012389,0.0002169034,0.00001572181,0.00003980162,0.0000840064,0.000161026,0.0001886402,0.0007578219,0.9964219,0.00001833195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004301164,0.00002740531,0.00004316916,0.00003814151,0.00001282296,0.000005467811,0.9988223,0.0003923408,0.0006153391],"genre_scores_gemma":[0.000170442,0.00003498885,0.0001970598,0.00004887372,0.000004192822,0.00004561022,0.9988447,0.0001634822,0.0004906227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243018,"threshold_uncertainty_score":0.587769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}