{"id":"W6962037237","doi":"10.15468/dl.xkf5ed","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":[0.0008752893,0.001809922,0.001532118,0.004897452,0.001027984,0.002878878,0.002659593,0.001790119,0.1941133],"category_scores_gemma":[0.006026648,0.0008980155,0.001336132,0.009906165,0.0004031486,0.002530601,0.00269766,0.001887763,0.2760498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427242,"about_ca_system_score_gemma":0.002319091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093852,"about_ca_topic_score_gemma":0.03264232,"domain_scores_codex":[0.9989763,0.0001226563,0.000130987,0.0003633832,0.0002250453,0.0001816063],"domain_scores_gemma":[0.9975896,0.0006324906,0.0002004751,0.0006659942,0.0006573675,0.0002540754],"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":[0.00002866366,0.000009199804,0.0004345234,0.0005265368,0.00001458933,0.00001619647,0.00002618689,0.0001249233,0.0001221749,0.0003947401,0.9962328,0.002069363],"study_design_scores_gemma":[0.0000476656,0.000006297193,0.001645017,0.0001570822,0.00001187688,0.00003334346,0.00007518939,0.0001523902,0.0001688431,0.0007411244,0.9969454,0.00001563814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004745032,0.00003208213,0.00006772577,0.00004296516,0.00001696603,0.000005852517,0.9982455,0.0006536911,0.0008878675],"genre_scores_gemma":[0.0002033764,0.00004485573,0.0002783255,0.0000534927,0.000004941303,0.00004548517,0.9984419,0.0002563979,0.0006712304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8058867,"threshold_uncertainty_score":0.6493737,"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."}}