{"id":"W6962024629","doi":"10.15468/dl.u7qfkg","title":"Occurrence Download","year":2024,"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); R package","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":[0.0009849735,0.00204818,0.001622807,0.005656458,0.0009203771,0.002530147,0.002727567,0.001917002,0.1758589],"category_scores_gemma":[0.006158797,0.0009345819,0.001186503,0.0108168,0.0004484954,0.002381268,0.002792184,0.001885231,0.240083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156994,"about_ca_system_score_gemma":0.002338968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02149211,"about_ca_topic_score_gemma":0.03490556,"domain_scores_codex":[0.9989342,0.0001343661,0.0001402508,0.0003636772,0.0002455207,0.0001818837],"domain_scores_gemma":[0.9973736,0.0007031966,0.0002546302,0.0007013926,0.0006465479,0.000320566],"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":[0.00003036291,0.00001019729,0.0003679584,0.0005794137,0.00001581429,0.00001596402,0.00002290691,0.0001214772,0.0001299691,0.0003665137,0.9969194,0.001420116],"study_design_scores_gemma":[0.00007251533,0.000007993558,0.001883086,0.0001810048,0.00001445496,0.00003756715,0.00006667194,0.000134265,0.0001950261,0.0007381593,0.9966517,0.00001744363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003791315,0.00002277332,0.00004027836,0.00002798397,0.00001001101,0.000005042221,0.9988616,0.0003819415,0.0006126113],"genre_scores_gemma":[0.0001441383,0.00002967791,0.0001761706,0.00003732575,0.000003109247,0.00003695911,0.9990188,0.0001493338,0.0004045437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8241411,"threshold_uncertainty_score":0.5883065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}