{"id":"W6962163110","doi":"10.15468/dl.zcsahb","title":"Occurrence Download","year":2016,"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); Data set; Confidentiality","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":[0.001036337,0.00200928,0.001639824,0.005219843,0.0008933852,0.00258623,0.003011275,0.002107018,0.132985],"category_scores_gemma":[0.006395968,0.0008729721,0.001234683,0.01020765,0.0004366872,0.002250642,0.002576495,0.001981053,0.1917644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566755,"about_ca_system_score_gemma":0.002325798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065137,"about_ca_topic_score_gemma":0.03385308,"domain_scores_codex":[0.9989279,0.000149114,0.0001460916,0.0003653495,0.0002347367,0.0001768177],"domain_scores_gemma":[0.9974211,0.000696496,0.0002638313,0.0006918437,0.0006194359,0.0003071529],"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":[0.00003156328,0.00001244331,0.0004692132,0.0005530109,0.00001817621,0.00001590638,0.00002200398,0.000139006,0.0001071091,0.0003585362,0.9969051,0.001367867],"study_design_scores_gemma":[0.0000947049,0.00001027272,0.002431982,0.0002266684,0.00001852163,0.00004545196,0.00007598614,0.0001837214,0.0001957451,0.0008137454,0.9958839,0.00001926853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004882714,0.00003135836,0.00003937277,0.00003516391,0.00001165597,0.000004962361,0.9989543,0.0003328879,0.0005413356],"genre_scores_gemma":[0.0001607222,0.00003271641,0.0001547631,0.0000378279,0.000003433838,0.00003533835,0.9991012,0.0001030308,0.0003710468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.867015,"threshold_uncertainty_score":0.4448792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}