{"id":"W6943245132","doi":"10.15468/dl.o3pdaw","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Elevation (ballistics); Download; Matching (statistics); Range (aeronautics)","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":["insufficient_payload"],"category_scores_codex":[0.0008616857,0.002476153,0.002193647,0.006021139,0.001185515,0.003823626,0.002333981,0.002164857,0.4082533],"category_scores_gemma":[0.006160482,0.00108107,0.001748762,0.009468918,0.0003823641,0.00350894,0.003732648,0.002067502,0.4817567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523434,"about_ca_system_score_gemma":0.002652327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212182,"about_ca_topic_score_gemma":0.03503425,"domain_scores_codex":[0.9987326,0.0001368795,0.0001851688,0.0004781517,0.0002585798,0.0002085839],"domain_scores_gemma":[0.9972172,0.0007853082,0.0001912112,0.0006697396,0.0007588529,0.0003778021],"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":[0.0000437363,0.00001285522,0.0002619228,0.0005747052,0.0000130141,0.00001800496,0.00002672517,0.00008942752,0.00009301909,0.000425683,0.9953176,0.003123312],"study_design_scores_gemma":[0.00007826678,0.00001127697,0.001295193,0.0001609153,0.00001431275,0.00003677938,0.00008263507,0.0002017693,0.0001480231,0.00109974,0.9968483,0.00002285461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005578771,0.00005161223,0.0001191645,0.00006308586,0.0000365803,0.00001249545,0.9950759,0.002016158,0.002569215],"genre_scores_gemma":[0.000291658,0.00007891527,0.0006165982,0.0001241896,0.00001267301,0.00006569082,0.9960199,0.00071783,0.002072672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5917467,"threshold_uncertainty_score":0.8440549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}