{"id":"W6887226409","doi":"10.15468/dl.rdbn4w","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":[0.0009266824,0.00188363,0.001577083,0.004958343,0.00109611,0.003075397,0.002778033,0.001866602,0.1988303],"category_scores_gemma":[0.006449899,0.0009342115,0.001362321,0.009751287,0.00041217,0.002658169,0.002873413,0.001964901,0.2859826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430285,"about_ca_system_score_gemma":0.002367198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019846,"about_ca_topic_score_gemma":0.03218933,"domain_scores_codex":[0.9988826,0.0001371841,0.0001408497,0.000403554,0.0002427022,0.0001931524],"domain_scores_gemma":[0.9973991,0.0006895787,0.0002086279,0.0007208499,0.0007084272,0.0002733789],"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":[0.00002934325,0.000009533141,0.0004250173,0.0005193256,0.00001470011,0.00001647716,0.00002652596,0.0001191547,0.0001222302,0.0003869461,0.9963649,0.001965915],"study_design_scores_gemma":[0.00004785712,0.000006485484,0.001542337,0.0001539235,0.00001199046,0.00003319255,0.0000753069,0.0001488757,0.0001708291,0.0007368502,0.9970564,0.00001594957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004752722,0.00003102421,0.00007058388,0.00004531983,0.00001838315,0.000006252273,0.9981588,0.0006938817,0.0009282258],"genre_scores_gemma":[0.0001894802,0.00004143828,0.0002752912,0.00005497433,0.000005059715,0.00004621535,0.9984413,0.0002651742,0.0006810845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8011698,"threshold_uncertainty_score":0.6651535,"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."}}