{"id":"W6887056080","doi":"10.15468/dl.kmcein","title":"Occurrence Download","year":2018,"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); Odocoileus; 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":[0.0008593881,0.002033576,0.001580406,0.005388055,0.001067825,0.002787419,0.003058307,0.002105901,0.1479612],"category_scores_gemma":[0.00611926,0.0009226183,0.001201665,0.01083419,0.0004474131,0.002547634,0.002725797,0.002185625,0.2206976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819668,"about_ca_system_score_gemma":0.002528805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02698675,"about_ca_topic_score_gemma":0.04362103,"domain_scores_codex":[0.9990022,0.0001192852,0.0001186045,0.0003414968,0.0002466301,0.0001718761],"domain_scores_gemma":[0.9977568,0.0005826936,0.000197843,0.0005824313,0.0006238396,0.0002564877],"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":[0.00002457417,0.0000110288,0.0003499606,0.0004572321,0.00001289086,0.00001482557,0.00002372172,0.0001144549,0.0000917295,0.0003873385,0.9970849,0.00142731],"study_design_scores_gemma":[0.00006470874,0.000006649546,0.00162414,0.000180849,0.00001270073,0.0000373484,0.00008187319,0.0001710181,0.0001791815,0.0007610822,0.996864,0.00001658943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004620661,0.00003115596,0.00005212285,0.00004079956,0.00001300607,0.000005585956,0.9985448,0.0005116128,0.000754715],"genre_scores_gemma":[0.0001607505,0.00003670162,0.0002130837,0.00003832032,0.000003409423,0.0000396143,0.9988484,0.0001715276,0.0004880812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8520387,"threshold_uncertainty_score":0.4949797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}