{"id":"W6924363608","doi":"10.15468/dl.cvhhjg","title":"Occurrence Download","year":2024,"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":[0.0008944346,0.001868776,0.001563754,0.005000946,0.001060879,0.002984985,0.00276516,0.001861832,0.204253],"category_scores_gemma":[0.006271522,0.0009475983,0.001343849,0.009967131,0.0004086858,0.002612393,0.002800189,0.001894857,0.2876571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505392,"about_ca_system_score_gemma":0.002360265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113243,"about_ca_topic_score_gemma":0.03296404,"domain_scores_codex":[0.9989375,0.0001293857,0.0001333855,0.0003792249,0.0002320965,0.0001883835],"domain_scores_gemma":[0.9974943,0.0006469748,0.0002053601,0.0006920219,0.0007008967,0.0002604459],"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":[0.0000274206,0.000009183998,0.0004164749,0.0005159643,0.00001452361,0.00001583222,0.0000252517,0.0001244874,0.0001158009,0.0003801307,0.9964162,0.001938713],"study_design_scores_gemma":[0.00004993212,0.00000664028,0.001565874,0.0001552002,0.00001231155,0.00003177453,0.00007503675,0.0001544774,0.0001673813,0.0007352122,0.9970303,0.00001585839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000454907,0.00002973879,0.00006477356,0.00004251524,0.00001703248,0.000006037637,0.9982652,0.000643848,0.0008854024],"genre_scores_gemma":[0.0001861817,0.00004057445,0.0002607471,0.00005248681,0.000004798623,0.00004461495,0.9984938,0.0002420616,0.0006746813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.795747,"threshold_uncertainty_score":0.6832944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}