{"id":"W6887227819","doi":"10.15468/dl.v2nmqz","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":[0.0009368017,0.001880549,0.001577227,0.004905823,0.001087718,0.003026717,0.00280151,0.001891455,0.1989286],"category_scores_gemma":[0.006387891,0.0009258192,0.001397891,0.009685517,0.0004170447,0.002679748,0.002916224,0.001982405,0.2907265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444159,"about_ca_system_score_gemma":0.002386601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968711,"about_ca_topic_score_gemma":0.0314502,"domain_scores_codex":[0.998894,0.0001344775,0.0001399025,0.0003965411,0.0002418108,0.0001932414],"domain_scores_gemma":[0.9974121,0.0006770071,0.0002048286,0.0007327686,0.000700378,0.0002728657],"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":[0.00003012071,0.000009600266,0.0004162517,0.0005040247,0.0000144385,0.00001643624,0.00002589366,0.0001171834,0.0001221532,0.0003889482,0.9963929,0.001962037],"study_design_scores_gemma":[0.00004924465,0.000006571001,0.001513674,0.0001531194,0.00001187976,0.00003328572,0.00007475039,0.0001539,0.0001783004,0.0007747747,0.9970347,0.00001591097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004765095,0.00003026907,0.00007241655,0.00004539304,0.00001831245,0.000006372162,0.9981115,0.0007365063,0.0009316463],"genre_scores_gemma":[0.000187581,0.00004094425,0.0002780364,0.00005490065,0.000004987607,0.00004576766,0.998442,0.0002752405,0.0006705408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8010714,"threshold_uncertainty_score":0.6654825,"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."}}