{"id":"W6925098296","doi":"10.15468/dl.wc3tnq","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","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":[0.001069815,0.002082632,0.001602912,0.005510842,0.000903681,0.002588477,0.002848732,0.001960715,0.1438304],"category_scores_gemma":[0.006091184,0.0009047342,0.001215518,0.01060803,0.0004404551,0.002312422,0.00282831,0.001998271,0.222824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633293,"about_ca_system_score_gemma":0.002501798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107548,"about_ca_topic_score_gemma":0.03561419,"domain_scores_codex":[0.998855,0.0001536209,0.0001572678,0.0003742019,0.0002666769,0.0001932099],"domain_scores_gemma":[0.997322,0.0006499095,0.0002794307,0.0007440503,0.0006568146,0.0003477332],"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":[0.00003165257,0.00001182902,0.0004094894,0.0005382979,0.00001637791,0.00001427865,0.00002240414,0.0001143608,0.0001150364,0.0003657432,0.9969593,0.00140115],"study_design_scores_gemma":[0.00007431667,0.00000843279,0.002006387,0.0001939827,0.00001467984,0.00003740803,0.00006266584,0.0001263623,0.0001874144,0.0007120158,0.9965597,0.00001668658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000415891,0.00002672449,0.00003652647,0.0000305916,0.00001071803,0.000005056481,0.9989333,0.0003212728,0.0005942296],"genre_scores_gemma":[0.0001295684,0.00003037093,0.0001441542,0.00003642649,0.000003039566,0.00003231187,0.9991273,0.0001078163,0.0003890909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561696,"threshold_uncertainty_score":0.4811605,"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."}}