{"id":"W6943763067","doi":"10.15468/dl.wy97fh","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; Set (abstract data type)","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":[0.0009843276,0.001990339,0.001637733,0.005343813,0.0009322522,0.002670324,0.002933409,0.00196945,0.1444778],"category_scores_gemma":[0.006002525,0.0008904868,0.001172531,0.01117359,0.000426306,0.002362862,0.002702245,0.001979692,0.2091456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609706,"about_ca_system_score_gemma":0.002438797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218461,"about_ca_topic_score_gemma":0.03662722,"domain_scores_codex":[0.9988852,0.0001447743,0.0001448386,0.000383634,0.0002553227,0.0001862802],"domain_scores_gemma":[0.9975414,0.0006368881,0.0002598409,0.0006607798,0.0005947406,0.0003063912],"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":[0.00002851807,0.00001026107,0.0004003728,0.0004875507,0.00001554504,0.00001472561,0.00002282749,0.0001217156,0.0001041625,0.0004087431,0.997009,0.001376658],"study_design_scores_gemma":[0.00006499101,0.000007200978,0.001873658,0.0001829669,0.00001410274,0.00003857063,0.00006653997,0.000143772,0.0001746557,0.0007602576,0.9966569,0.00001641403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004255659,0.00002970722,0.00004219228,0.00003391681,0.00001155997,0.000004338409,0.9988901,0.0003452068,0.0006004959],"genre_scores_gemma":[0.0001464646,0.00003409799,0.000157151,0.00003726513,0.000003171822,0.00003121809,0.9990307,0.0001222785,0.0004376662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8555223,"threshold_uncertainty_score":0.4833263,"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."}}