{"id":"W6887163977","doi":"10.15468/dl.u2u6mx","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009596057,0.001850368,0.001516663,0.00496335,0.001031889,0.002504964,0.002697322,0.001892997,0.1646557],"category_scores_gemma":[0.005599799,0.0008856888,0.001108617,0.01026179,0.0004281617,0.00225023,0.002557914,0.001938737,0.2189033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702033,"about_ca_system_score_gemma":0.002693711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03007628,"about_ca_topic_score_gemma":0.04835251,"domain_scores_codex":[0.9989729,0.0001286487,0.0001217873,0.0003551647,0.0002405629,0.0001809567],"domain_scores_gemma":[0.9976181,0.000624408,0.0002194336,0.0006275631,0.0006215728,0.0002888821],"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":[0.00002508965,0.00000954394,0.000346728,0.0004024105,0.00001282762,0.0000135828,0.00002210687,0.0001172652,0.000109773,0.000374019,0.9972578,0.001308852],"study_design_scores_gemma":[0.00005842055,0.000006821249,0.001815362,0.0001581031,0.0000126376,0.00003301142,0.0000713333,0.0001373844,0.0001930103,0.0007180818,0.9967789,0.00001695835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004000999,0.00002260114,0.00004464458,0.00003433351,0.00001141011,0.000004951657,0.9987397,0.000397427,0.0007049493],"genre_scores_gemma":[0.0001590215,0.00002792965,0.0001833152,0.00003946224,0.000003037588,0.00003544907,0.9989059,0.0001554934,0.0004904577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353443,"threshold_uncertainty_score":0.5508282,"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."}}