{"id":"W6943021257","doi":"10.15468/dl.oiyieq","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":[0.001021042,0.001899819,0.00160073,0.005124967,0.0009343036,0.00260229,0.002973715,0.002004669,0.145274],"category_scores_gemma":[0.005908987,0.0008722977,0.001129125,0.01001713,0.0004347853,0.002368611,0.002586563,0.002056795,0.2055418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015803,"about_ca_system_score_gemma":0.002376994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003561,"about_ca_topic_score_gemma":0.03547825,"domain_scores_codex":[0.9989803,0.0001409036,0.0001325518,0.0003469244,0.0002322295,0.000167055],"domain_scores_gemma":[0.9976101,0.0006374467,0.0002449566,0.0006406621,0.0005720365,0.0002947997],"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":[0.00002690371,0.00001208579,0.0004054428,0.0004964993,0.00001489461,0.00001432089,0.00002251283,0.0001229716,0.0001015689,0.0003970614,0.9970522,0.001333652],"study_design_scores_gemma":[0.00007409916,0.000007932023,0.001924128,0.0001900188,0.00001361095,0.00003719117,0.00007253039,0.0001481297,0.0001735082,0.0008085915,0.9965335,0.00001670468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004664145,0.00003030655,0.00004410919,0.00003732227,0.0000119545,0.000005340311,0.9988264,0.0003391096,0.0006588413],"genre_scores_gemma":[0.0001601424,0.00003341127,0.00017741,0.00003990619,0.000003450203,0.0000383572,0.9989768,0.0001190144,0.0004515323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854726,"threshold_uncertainty_score":0.4859899,"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."}}