{"id":"W6961926682","doi":"10.15468/dl.q6g8cb","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); Data set; Set (abstract data type)","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":[0.0009935063,0.00205457,0.001730053,0.005530392,0.00111305,0.002847648,0.003139024,0.002123975,0.167816],"category_scores_gemma":[0.006158718,0.0009845673,0.001220298,0.01146179,0.0004682495,0.002502725,0.002787997,0.002046999,0.2345364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753641,"about_ca_system_score_gemma":0.002695502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02842488,"about_ca_topic_score_gemma":0.04647865,"domain_scores_codex":[0.9988681,0.0001449416,0.0001354985,0.0003959642,0.0002631804,0.0001923329],"domain_scores_gemma":[0.9975387,0.0006560924,0.0002217792,0.0006444264,0.0006479099,0.000291198],"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":[0.00002679103,0.000009456574,0.0003233235,0.0005301208,0.00001473593,0.00001363444,0.00002244766,0.0001054335,0.000109457,0.0003843399,0.9971256,0.001334664],"study_design_scores_gemma":[0.00006003476,0.000006466013,0.001556532,0.0001815147,0.00001389811,0.00003305656,0.00006807534,0.0001149441,0.0001706819,0.0006915595,0.9970869,0.00001630291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003752197,0.00003124577,0.00004328661,0.00003473867,0.00001155744,0.000004637719,0.9987822,0.0003796972,0.0006750409],"genre_scores_gemma":[0.0001413747,0.00003595991,0.0001686257,0.00004130554,0.000003060781,0.00003396518,0.9989324,0.0001544947,0.0004888062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832184,"threshold_uncertainty_score":0.5614005,"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."}}