{"id":"W6924517151","doi":"10.15468/dl.pisj5m","title":"Occurrence Download","year":2015,"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":[0.000978841,0.001685901,0.001466808,0.005346042,0.0008441999,0.00253437,0.002593988,0.001638508,0.1705357],"category_scores_gemma":[0.006223339,0.0008346862,0.001055045,0.01109638,0.0003927001,0.002047705,0.002537309,0.001707971,0.2204779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522696,"about_ca_system_score_gemma":0.002474617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02377792,"about_ca_topic_score_gemma":0.04083657,"domain_scores_codex":[0.9989595,0.0001362424,0.0001417522,0.0003434237,0.0002390707,0.0001799535],"domain_scores_gemma":[0.9973972,0.0006673253,0.0002780802,0.0006755503,0.0006827936,0.0002989762],"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":[0.00002662613,0.000009092883,0.0004358231,0.0004855607,0.00001589029,0.00001254459,0.00002300534,0.0001112382,0.00009214886,0.0004033264,0.9968783,0.001506473],"study_design_scores_gemma":[0.0000586741,0.000006635747,0.002135164,0.0001942137,0.00001424775,0.00003103636,0.00006363962,0.0001154344,0.0001594906,0.0007311131,0.9964749,0.00001534297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003646163,0.00002335544,0.00003677828,0.00002653908,0.000008862441,0.00000423136,0.998957,0.0002820867,0.0006246327],"genre_scores_gemma":[0.0001574178,0.00003149909,0.0001610105,0.00003701377,0.00000322659,0.00003422078,0.9989832,0.0001218645,0.000470514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294643,"threshold_uncertainty_score":0.5704988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}