{"id":"W6962214962","doi":"10.15468/dl.u56gwm","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.000915213,0.001882033,0.001558723,0.004732873,0.001042969,0.00294205,0.002781827,0.001882574,0.1895579],"category_scores_gemma":[0.006036797,0.0009233623,0.001397114,0.009554132,0.0004157085,0.002603075,0.002771842,0.001944189,0.2804375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462896,"about_ca_system_score_gemma":0.002323858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205315,"about_ca_topic_score_gemma":0.03259126,"domain_scores_codex":[0.9989406,0.0001291993,0.0001342676,0.000381815,0.0002287651,0.0001852782],"domain_scores_gemma":[0.9975945,0.0006217546,0.0001955793,0.0006861003,0.0006469851,0.0002550502],"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":[0.00002922043,0.000009337114,0.0004106091,0.0005016379,0.00001475076,0.00001590502,0.00002469248,0.0001227834,0.0001225119,0.0003827152,0.9964824,0.001883435],"study_design_scores_gemma":[0.00005100188,0.000006669746,0.001575373,0.0001542762,0.00001240421,0.00003382477,0.00007214581,0.0001630453,0.0001769563,0.0007796898,0.9969586,0.00001609166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004730074,0.00003204043,0.00006859924,0.0000448609,0.00001763149,0.000006004479,0.9981895,0.0007115236,0.0008826519],"genre_scores_gemma":[0.000194216,0.00004257799,0.0002718314,0.00005535683,0.000004906558,0.00004424527,0.9984864,0.0002592574,0.0006411399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8104421,"threshold_uncertainty_score":0.6341342,"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."}}