{"id":"W6887115415","doi":"10.15468/dl.s46r7k","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":[0.0009346619,0.001869205,0.001565948,0.00484712,0.001100195,0.003074538,0.002797452,0.001883558,0.2028693],"category_scores_gemma":[0.006380764,0.0009323717,0.00135199,0.009427571,0.000406495,0.002659212,0.00286358,0.001952037,0.2927387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441547,"about_ca_system_score_gemma":0.002361206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033557,"about_ca_topic_score_gemma":0.0331628,"domain_scores_codex":[0.9989121,0.0001334076,0.0001360365,0.0003957402,0.0002327373,0.0001901169],"domain_scores_gemma":[0.9974763,0.0006639242,0.0002007812,0.0007173473,0.0006760214,0.0002655898],"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":[0.00002936476,0.000009359404,0.0004193146,0.0005099266,0.00001420298,0.0000163934,0.00002645328,0.0001139157,0.0001208314,0.0003962804,0.9964599,0.001884048],"study_design_scores_gemma":[0.00004812784,0.000006415852,0.001500819,0.0001516236,0.00001181587,0.00003235267,0.00007459761,0.0001459449,0.0001704652,0.0007383608,0.9971039,0.00001568218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004648471,0.00002958317,0.0000693006,0.00004421415,0.00001727442,0.000006309057,0.9981458,0.0007026671,0.000938303],"genre_scores_gemma":[0.0001850073,0.00003945143,0.0002678267,0.00005427759,0.000004805219,0.0000459222,0.9984541,0.0002668029,0.0006818354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7971307,"threshold_uncertainty_score":0.6786654,"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."}}