{"id":"W6962426586","doi":"10.15468/dl.yebx8c","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":[0.001023552,0.001954516,0.001567834,0.00510143,0.0009662271,0.002662967,0.003019044,0.00209929,0.148862],"category_scores_gemma":[0.006328526,0.0008699363,0.001185095,0.00985529,0.0004420261,0.002527292,0.002661867,0.002114411,0.2082289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547518,"about_ca_system_score_gemma":0.002367629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206719,"about_ca_topic_score_gemma":0.03657547,"domain_scores_codex":[0.9989341,0.0001506495,0.0001393406,0.000365025,0.0002386106,0.0001722711],"domain_scores_gemma":[0.9974341,0.0006944546,0.0002465786,0.0007062866,0.0006157604,0.0003027729],"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":[0.00002700471,0.00001158153,0.0003832468,0.0004674408,0.00001436921,0.00001459259,0.0000222127,0.0001142867,0.00009238996,0.0003838708,0.997153,0.001315958],"study_design_scores_gemma":[0.00007108536,0.000007680367,0.001844599,0.0001870895,0.00001317026,0.0000389458,0.00007098618,0.0001456574,0.0001649196,0.000833032,0.9966059,0.00001698283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004667398,0.00003007794,0.00004823536,0.00003922547,0.00001294215,0.000005463273,0.9987426,0.0003881424,0.0006865949],"genre_scores_gemma":[0.0001563897,0.00003206722,0.0001842365,0.00004078976,0.000003477032,0.00003816402,0.9989562,0.000132117,0.0004565172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851138,"threshold_uncertainty_score":0.4979931,"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."}}