{"id":"W6886992762","doi":"10.15468/dl.korjbq","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); Confidentiality; 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":[0.0009521177,0.00194936,0.001707565,0.005485725,0.0009766021,0.002928184,0.003032982,0.00206169,0.1646804],"category_scores_gemma":[0.0066197,0.0009190553,0.001220437,0.01116211,0.0004536796,0.002590798,0.002770136,0.002073445,0.238499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180667,"about_ca_system_score_gemma":0.002625688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395158,"about_ca_topic_score_gemma":0.03639546,"domain_scores_codex":[0.9989229,0.0001393703,0.0001359694,0.0003751398,0.0002501195,0.0001765112],"domain_scores_gemma":[0.9976132,0.0006473947,0.0002316774,0.0006044084,0.0006246663,0.0002786478],"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":[0.0000251301,0.000009372108,0.0003602658,0.0005178396,0.00001452274,0.00001289224,0.00002204355,0.0001172217,0.00008349446,0.0003683211,0.9970686,0.00140045],"study_design_scores_gemma":[0.00007078323,0.000007264845,0.001688737,0.0002104095,0.00001460491,0.0000361633,0.00007113913,0.0001605137,0.0001518413,0.0007898379,0.9967825,0.0000161889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003704297,0.0000344541,0.00003921367,0.00003911816,0.00001185035,0.00000471334,0.9988222,0.0003749655,0.0006365146],"genre_scores_gemma":[0.0001499469,0.00004163458,0.0001649049,0.00004419122,0.000003404309,0.00003611649,0.9989028,0.0001476882,0.0005093322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353196,"threshold_uncertainty_score":0.5509108,"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."}}