{"id":"W6943468088","doi":"10.15468/dl.tj9ua9","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":[0.0009336753,0.0018522,0.001566338,0.004838122,0.001052327,0.002981961,0.002760358,0.001879596,0.1971978],"category_scores_gemma":[0.006305165,0.0009157547,0.001396142,0.009687324,0.0004193902,0.002606627,0.002809763,0.00195575,0.2852194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144926,"about_ca_system_score_gemma":0.002326661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987733,"about_ca_topic_score_gemma":0.03123531,"domain_scores_codex":[0.9989291,0.000131095,0.000135798,0.000382326,0.0002313672,0.0001903276],"domain_scores_gemma":[0.9974961,0.0006521148,0.0002013823,0.0007085293,0.0006791551,0.0002626689],"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":[0.00002918517,0.000009248974,0.0004095524,0.00051532,0.00001470606,0.00001592988,0.00002573358,0.0001209879,0.0001208074,0.0003944641,0.996449,0.001894915],"study_design_scores_gemma":[0.00005002107,0.00000653205,0.001545235,0.0001585374,0.00001217502,0.00003298894,0.00007385117,0.0001593865,0.0001735042,0.0008041473,0.9969677,0.00001591003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004577585,0.00003087128,0.00006850987,0.00004457019,0.00001776713,0.000006041043,0.998197,0.0006947966,0.0008946264],"genre_scores_gemma":[0.0001956643,0.00004262041,0.0002777261,0.00005593038,0.000005097628,0.00004602832,0.9984449,0.0002726652,0.0006594579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8028022,"threshold_uncertainty_score":0.6596924,"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."}}