{"id":"W6887128580","doi":"10.15468/dl.p0pnug","title":"Occurrence Download","year":2019,"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":[0.0009895707,0.001847516,0.001702625,0.005486914,0.0009505701,0.002579875,0.002780055,0.001997338,0.1690244],"category_scores_gemma":[0.006358754,0.0008789096,0.001143738,0.01047409,0.000441433,0.00233582,0.00263148,0.001928258,0.2244955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552545,"about_ca_system_score_gemma":0.002378369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925959,"about_ca_topic_score_gemma":0.0311214,"domain_scores_codex":[0.9989378,0.0001445249,0.0001462129,0.0003676381,0.000228398,0.000175464],"domain_scores_gemma":[0.9974849,0.0007319491,0.00024917,0.0006111063,0.0006349853,0.0002879186],"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":[0.00003157113,0.00001021105,0.0003921634,0.0006831215,0.0000171272,0.00001540381,0.00002482115,0.0001257036,0.0001233361,0.0004208657,0.996617,0.00153861],"study_design_scores_gemma":[0.0000680546,0.0000075778,0.001794134,0.0002302323,0.00001586577,0.00003561118,0.0000676783,0.0001218452,0.000183059,0.0007837217,0.9966748,0.00001748104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003479272,0.00003023316,0.00003826341,0.00003150438,0.00001039343,0.000004648581,0.998989,0.0002947481,0.0005665084],"genre_scores_gemma":[0.0001615526,0.00003959082,0.0001687209,0.00004538495,0.000003464987,0.00003909996,0.9989649,0.0001316191,0.0004456899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309756,"threshold_uncertainty_score":0.565443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}