{"id":"W6943553098","doi":"10.15468/dl.xug7pw","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":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","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":[0.001033906,0.0019403,0.001588686,0.005026387,0.0009668312,0.002564442,0.002804285,0.002102938,0.1474547],"category_scores_gemma":[0.005947127,0.0008891718,0.001211119,0.00979151,0.0004545054,0.002177745,0.002480942,0.001998395,0.2169347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633405,"about_ca_system_score_gemma":0.00242444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278635,"about_ca_topic_score_gemma":0.03594416,"domain_scores_codex":[0.9989459,0.0001423351,0.0001316992,0.0003653054,0.0002396712,0.0001751221],"domain_scores_gemma":[0.9974596,0.000748532,0.0002379841,0.0006515421,0.0006131626,0.0002891915],"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":[0.00002959645,0.00001247277,0.0003996598,0.0005344528,0.00001533737,0.00001503216,0.0000227987,0.0001315892,0.0001268773,0.000371188,0.9969391,0.001401928],"study_design_scores_gemma":[0.00007518515,0.000009389639,0.002040045,0.0001995215,0.0000154788,0.0000367976,0.00007437133,0.0001548284,0.0002107044,0.0007625991,0.9964027,0.00001837151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004219859,0.00002575944,0.00003836733,0.00003448799,0.00001110618,0.000004944293,0.9989317,0.0003359323,0.0005755344],"genre_scores_gemma":[0.0001579572,0.00003157021,0.0001719852,0.00004272647,0.000003223901,0.00003919568,0.9989783,0.0001294702,0.0004456695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525453,"threshold_uncertainty_score":0.4932851,"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."}}