{"id":"W6905868117","doi":"10.15468/dl.sf2syd","title":"Occurrence Download","year":2020,"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; Personally identifiable information","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":[0.001093894,0.002057716,0.001738235,0.00607112,0.0009526155,0.002623396,0.002849286,0.001946744,0.1909449],"category_scores_gemma":[0.006486708,0.001018276,0.001229053,0.01182983,0.0004380236,0.002670288,0.002730573,0.001980183,0.2575581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673825,"about_ca_system_score_gemma":0.002367985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146823,"about_ca_topic_score_gemma":0.03426833,"domain_scores_codex":[0.9988093,0.0001512318,0.0001572557,0.0004095945,0.000274893,0.0001976599],"domain_scores_gemma":[0.9970506,0.0007737553,0.0002742837,0.000767167,0.0007736782,0.0003603923],"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":[0.00002773232,0.000009612025,0.0003173863,0.0005209291,0.00001368879,0.00001260237,0.00002018691,0.0001062111,0.0001022126,0.0003543095,0.9971245,0.001390689],"study_design_scores_gemma":[0.00006141744,0.000007480569,0.001703748,0.0001731458,0.00001297626,0.00003010392,0.00006113022,0.0001233816,0.000163867,0.000662057,0.9969844,0.00001629045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003034932,0.00002214862,0.00003582458,0.00002870452,0.00001001566,0.00000446276,0.9989679,0.0003111605,0.0005894455],"genre_scores_gemma":[0.0001224687,0.00003061289,0.00016174,0.00003587621,0.000003056409,0.00003397663,0.9989946,0.0001385442,0.0004790664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8090551,"threshold_uncertainty_score":0.6387743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}