{"id":"W4395944843","doi":"10.15468/dl.9ffrj8","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001047426,0.001894277,0.00152082,0.004702401,0.0009642665,0.002553453,0.002791776,0.002012268,0.1703088],"category_scores_gemma":[0.006000313,0.0009576172,0.001112744,0.009289294,0.0004543709,0.002198082,0.002457106,0.002039044,0.2171153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712813,"about_ca_system_score_gemma":0.002389183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02446784,"about_ca_topic_score_gemma":0.04046834,"domain_scores_codex":[0.9989643,0.0001388714,0.0001345721,0.0003556465,0.0002411399,0.00016548],"domain_scores_gemma":[0.9975266,0.0007154513,0.000239417,0.0006218365,0.0005993469,0.0002974442],"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":[0.00002586459,0.00001037705,0.0003439728,0.0004450419,0.00001327136,0.00001412354,0.00002303705,0.0001160862,0.00009291344,0.0003685225,0.9974112,0.001135486],"study_design_scores_gemma":[0.00008330242,0.000006985043,0.001925043,0.0001761166,0.00001358795,0.00003540511,0.00007054119,0.0001589214,0.0001788436,0.0007580801,0.9965765,0.00001659504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003637112,0.00001957298,0.00004088415,0.00003269843,0.000009698832,0.000004750776,0.9989398,0.0003204946,0.0005957797],"genre_scores_gemma":[0.0001578741,0.00002828892,0.0001803356,0.00004322898,0.000003184191,0.00004146109,0.998929,0.000153445,0.0004633183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296912,"threshold_uncertainty_score":0.5697396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}