{"id":"W6961931523","doi":"10.15468/dl.otjbxd","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); 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":[0.001028542,0.001993222,0.001621267,0.005225854,0.0009856683,0.00267765,0.003072812,0.002011894,0.1338801],"category_scores_gemma":[0.005985528,0.0008997635,0.001212341,0.01045262,0.0004627376,0.002343235,0.002703626,0.00212367,0.1968823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673651,"about_ca_system_score_gemma":0.002429642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226643,"about_ca_topic_score_gemma":0.03597738,"domain_scores_codex":[0.9989486,0.0001377399,0.0001336742,0.0003580613,0.000246254,0.000175562],"domain_scores_gemma":[0.9976754,0.000607746,0.0002307432,0.0006486485,0.00056489,0.0002725616],"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":[0.00003063358,0.00001251142,0.0004508527,0.000544132,0.00001739675,0.00001774793,0.00002821753,0.0001543845,0.0001375579,0.0004573315,0.9965457,0.001603552],"study_design_scores_gemma":[0.00006585606,0.000007367588,0.001925398,0.0001914403,0.00001447131,0.00004136516,0.00007478079,0.0001617651,0.0002010642,0.0007920655,0.9965065,0.00001775583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005162958,0.00003231158,0.00005456563,0.00003647066,0.00001313663,0.000005323057,0.9986719,0.0004571358,0.0006776818],"genre_scores_gemma":[0.0001561226,0.00003167948,0.0001893622,0.00003502615,0.000002933853,0.00003546722,0.9990115,0.0001447156,0.0003931896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8661199,"threshold_uncertainty_score":0.4478735,"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."}}