{"id":"W6924787513","doi":"10.15468/dl.pe7j5r","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); Geographic coordinate conversion; Reprojection error","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":[0.0008274477,0.00189108,0.001470169,0.004763796,0.00103284,0.002832547,0.002730445,0.001736576,0.1755818],"category_scores_gemma":[0.005536937,0.0008985757,0.001272428,0.00979675,0.0004090222,0.00228876,0.002642011,0.001813485,0.2549395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432339,"about_ca_system_score_gemma":0.002291484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313021,"about_ca_topic_score_gemma":0.03719933,"domain_scores_codex":[0.998974,0.0001243784,0.0001259424,0.0003693307,0.0002233175,0.0001831179],"domain_scores_gemma":[0.9978291,0.0005466593,0.0001907706,0.000596811,0.0005953796,0.0002412169],"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":[0.0000316638,0.000009981196,0.0004377553,0.0004871334,0.00001425215,0.00001582276,0.00002574492,0.0001286565,0.0001225923,0.0003861836,0.9964065,0.001933712],"study_design_scores_gemma":[0.00005005554,0.000007198493,0.001673332,0.000141814,0.000011607,0.00003466932,0.00007278303,0.0001552124,0.0001744135,0.0007266114,0.9969366,0.00001590722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005140114,0.00002984144,0.00006331487,0.00003853345,0.00001454759,0.000005472862,0.9983387,0.000603546,0.000854642],"genre_scores_gemma":[0.000186181,0.0000369852,0.0002394716,0.00004523188,0.000004080469,0.00003990877,0.9985929,0.0002073429,0.0006477392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8244182,"threshold_uncertainty_score":0.5873796,"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."}}