{"id":"W6962211030","doi":"10.15468/dl.kxcyey","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":[0.0009899026,0.001926359,0.001536445,0.005185943,0.0009866003,0.002554262,0.003023203,0.001997892,0.143862],"category_scores_gemma":[0.006119619,0.0008572576,0.001136415,0.01063202,0.000446536,0.002442348,0.002653963,0.002049975,0.204417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808316,"about_ca_system_score_gemma":0.002644539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02723528,"about_ca_topic_score_gemma":0.04505959,"domain_scores_codex":[0.9989242,0.0001398535,0.000136407,0.0003647805,0.0002537872,0.0001810277],"domain_scores_gemma":[0.9974335,0.0006599711,0.0002514544,0.0006832855,0.0006673999,0.0003043292],"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":[0.00002460307,0.00001116062,0.0003773476,0.0004280033,0.00001312361,0.00001340202,0.00002195282,0.000111335,0.00009421843,0.0003685322,0.9972791,0.001257223],"study_design_scores_gemma":[0.00006444106,0.000007346032,0.001940537,0.0001736131,0.00001256804,0.0000364943,0.00007314717,0.0001422368,0.0001726675,0.0007137753,0.9966467,0.00001646935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004682839,0.00002761374,0.00004315717,0.00003883684,0.0000124664,0.00000507024,0.9988011,0.0003464,0.0006786174],"genre_scores_gemma":[0.0001459083,0.0000306255,0.0001609197,0.00003735661,0.00000307296,0.0000346688,0.9989964,0.0001192497,0.0004718544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.856138,"threshold_uncertainty_score":0.4812664,"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."}}