{"id":"W6905786070","doi":"10.15468/dl.kcbhvs","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":[0.001041465,0.001934987,0.001609849,0.00508318,0.0009169796,0.002558535,0.002955581,0.00209299,0.1377733],"category_scores_gemma":[0.006337558,0.0008680054,0.001199095,0.009873047,0.0004277134,0.002294053,0.002470216,0.00200439,0.1940859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514011,"about_ca_system_score_gemma":0.002291969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892379,"about_ca_topic_score_gemma":0.03193597,"domain_scores_codex":[0.9989061,0.000152055,0.0001500139,0.0003804887,0.0002368501,0.0001743727],"domain_scores_gemma":[0.9973723,0.0007319516,0.0002665296,0.000704598,0.0006257585,0.0002989109],"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":[0.00003109672,0.00001286471,0.0004477101,0.0005767742,0.00001780395,0.00001583443,0.00002239727,0.000140236,0.0001135681,0.0003723888,0.9968181,0.001431258],"study_design_scores_gemma":[0.00008563429,0.00000963146,0.002242863,0.0002175072,0.00001710216,0.0000420508,0.00007021207,0.0001729844,0.0001922198,0.0007839086,0.9961474,0.00001857777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004593824,0.0000307448,0.00004024213,0.00003562173,0.00001159379,0.00000518864,0.9989772,0.0003155376,0.0005380762],"genre_scores_gemma":[0.0001608881,0.00003263933,0.0001643153,0.00004008298,0.000003473019,0.00003728179,0.9990694,0.0001035357,0.0003884305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622267,"threshold_uncertainty_score":0.4608977,"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."}}