{"id":"W6905910059","doi":"10.15468/dl.ureem3","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); Alien","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":[0.0009978171,0.002004618,0.001573171,0.004836051,0.001073822,0.002626583,0.002810438,0.002219376,0.1552949],"category_scores_gemma":[0.006144306,0.0009252316,0.001316112,0.008995463,0.000457183,0.002547389,0.002673288,0.002092703,0.2250722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598915,"about_ca_system_score_gemma":0.002351741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210607,"about_ca_topic_score_gemma":0.03400399,"domain_scores_codex":[0.9989281,0.0001527641,0.0001324635,0.0003831432,0.0002272406,0.000176337],"domain_scores_gemma":[0.9973712,0.0007618854,0.0002195907,0.0007172649,0.000640041,0.0002900574],"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":[0.00002959252,0.00001292752,0.0003809427,0.0005210607,0.00001405129,0.00001546313,0.0000235035,0.0001258658,0.0001208985,0.000365608,0.9969864,0.001403692],"study_design_scores_gemma":[0.00007333241,0.000009950543,0.001975015,0.0002000185,0.00001461719,0.00003913061,0.00008252489,0.0001793574,0.0001949288,0.000812493,0.9963996,0.00001894448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004923288,0.00002903493,0.00004922659,0.00004594075,0.00001537712,0.000006312761,0.998687,0.0004499264,0.000668021],"genre_scores_gemma":[0.0001620025,0.00003336737,0.0002051213,0.00005067187,0.000004008029,0.00004336365,0.9988801,0.0001482062,0.0004730819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8447051,"threshold_uncertainty_score":0.5195132,"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."}}