{"id":"W6962288799","doi":"10.15468/dl.pv8pam","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); Software; Confidentiality","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":[0.001025544,0.001914624,0.001645124,0.004844936,0.0009982269,0.002681018,0.002790144,0.002063833,0.1642715],"category_scores_gemma":[0.006268459,0.0009098137,0.001187204,0.009464907,0.0004292602,0.002636057,0.002645891,0.002063876,0.2313398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526938,"about_ca_system_score_gemma":0.002263873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918598,"about_ca_topic_score_gemma":0.03364078,"domain_scores_codex":[0.9988951,0.0001627458,0.0001426434,0.0003984947,0.0002262218,0.0001747593],"domain_scores_gemma":[0.9972626,0.0007748104,0.0002500961,0.0007264776,0.0006885396,0.0002974579],"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":[0.00002866493,0.00001145077,0.000363137,0.0005371311,0.00001399931,0.00001323595,0.00002174423,0.0001203964,0.00009739112,0.0003708554,0.9970765,0.001345552],"study_design_scores_gemma":[0.00007059506,0.000008341427,0.001657825,0.000196271,0.00001311083,0.00003036366,0.00006979423,0.0001482228,0.0001580435,0.0008478662,0.9967823,0.00001727034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003699581,0.00002544575,0.00004281051,0.00003644348,0.00001205156,0.00000522546,0.9988882,0.0003336213,0.0006191939],"genre_scores_gemma":[0.0001530102,0.00003476821,0.0002000204,0.00004811531,0.000003808945,0.0000429921,0.9988703,0.0001439681,0.0005030266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8357285,"threshold_uncertainty_score":0.5495428,"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."}}