{"id":"W6943711845","doi":"10.15468/dl.t7zmbp","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); Confidentiality; Set (abstract data type)","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":[0.001104111,0.001970203,0.001626984,0.005232004,0.001044886,0.002779161,0.002938412,0.002007288,0.1749955],"category_scores_gemma":[0.006396895,0.0009933122,0.00115792,0.01030001,0.0004531777,0.002463602,0.002685679,0.002065135,0.240819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158029,"about_ca_system_score_gemma":0.002432762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045677,"about_ca_topic_score_gemma":0.03423725,"domain_scores_codex":[0.998857,0.0001536555,0.0001494174,0.0003942587,0.0002630287,0.0001826223],"domain_scores_gemma":[0.9973295,0.0007628307,0.0002498568,0.0007092931,0.0006435175,0.0003049404],"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":[0.00002690198,0.000009977349,0.0003402068,0.0005032867,0.00001417342,0.00001352466,0.00002369963,0.0001083675,0.0001098578,0.0003848262,0.9970735,0.00139168],"study_design_scores_gemma":[0.00006121101,0.000006729985,0.001658083,0.0001864865,0.00001322597,0.00003459741,0.00006917842,0.000123789,0.000172864,0.0007121675,0.9969451,0.00001658306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003588112,0.0000249245,0.00004864271,0.00003228883,0.00001146924,0.000004670816,0.9988371,0.0003663352,0.0006387169],"genre_scores_gemma":[0.0001407398,0.0000325683,0.0001959274,0.00003973123,0.000003245808,0.00003806339,0.9989052,0.0001646266,0.0004799479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8250045,"threshold_uncertainty_score":0.5854184,"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."}}