{"id":"W6905572206","doi":"10.15468/dl.mg5jj4","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":"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":[0.0009085567,0.00186505,0.001579016,0.005098469,0.001071053,0.003019637,0.002739312,0.001868356,0.1891696],"category_scores_gemma":[0.006231589,0.0009116342,0.001338309,0.01000022,0.0004140806,0.002622721,0.002828682,0.001933976,0.2793256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402939,"about_ca_system_score_gemma":0.002300482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912685,"about_ca_topic_score_gemma":0.03125593,"domain_scores_codex":[0.9988999,0.0001355761,0.0001378704,0.0003966301,0.0002406872,0.0001892822],"domain_scores_gemma":[0.9974838,0.0006534591,0.0002060035,0.0007076309,0.0006835964,0.0002654143],"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":[0.00002970973,0.000009937941,0.0004498895,0.0005230454,0.00001524314,0.00001715203,0.00002662508,0.0001302706,0.0001262134,0.0003914016,0.9962346,0.002045987],"study_design_scores_gemma":[0.00004841143,0.000006849464,0.001632722,0.0001584559,0.00001232563,0.00003500452,0.00007848476,0.0001604801,0.00017073,0.0007530159,0.9969274,0.00001611967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005091022,0.00003324831,0.00006889315,0.00004444336,0.00001808541,0.000006158371,0.9982113,0.0006649056,0.0009021522],"genre_scores_gemma":[0.0001930855,0.00004199957,0.0002680808,0.00005171665,0.000004908466,0.00004414086,0.998507,0.0002364842,0.0006525746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8108304,"threshold_uncertainty_score":0.6328354,"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."}}