{"id":"W6924771230","doi":"10.15468/dl.zaksyp","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Conger; Range (aeronautics); Download; Sequence (biology)","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":[0.0009274503,0.002086319,0.001576182,0.004966998,0.0009981042,0.002469386,0.002845745,0.001903644,0.1659964],"category_scores_gemma":[0.005610574,0.0009893615,0.001215338,0.01033235,0.0004375807,0.00228426,0.00266883,0.001909649,0.2249356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592438,"about_ca_system_score_gemma":0.002319452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375321,"about_ca_topic_score_gemma":0.0382996,"domain_scores_codex":[0.9989801,0.0001272122,0.0001290057,0.000363466,0.0002249163,0.0001752395],"domain_scores_gemma":[0.9977763,0.0005876427,0.0002181173,0.0005857007,0.0005705324,0.0002616527],"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":[0.00003155251,0.000009864534,0.000346318,0.0004885626,0.00001413382,0.00001361195,0.0000222907,0.0001117607,0.0001224904,0.0003980527,0.9970794,0.001361931],"study_design_scores_gemma":[0.00007083482,0.000007945552,0.001684946,0.0001631142,0.00001375892,0.00003456078,0.00005940281,0.0001310539,0.0001980942,0.00081758,0.9968005,0.00001805174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003923304,0.00002269394,0.0000444133,0.00002953968,0.00001105248,0.000004598886,0.9987659,0.0004198091,0.0006628129],"genre_scores_gemma":[0.0001449306,0.00003087398,0.0001981096,0.00004424287,0.000003023961,0.0000381504,0.9988788,0.000195145,0.0004666888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8340036,"threshold_uncertainty_score":0.5553132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}