{"id":"W6905595477","doi":"10.15468/dl.qaasr6","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); Missing data; Column (typography)","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":[0.001033704,0.002080824,0.001653276,0.00541543,0.001022619,0.002739314,0.003126614,0.002101195,0.1410047],"category_scores_gemma":[0.006031661,0.0009266947,0.001252539,0.01040696,0.0004619862,0.002514395,0.002722502,0.002098484,0.2005606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753476,"about_ca_system_score_gemma":0.002531779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02437167,"about_ca_topic_score_gemma":0.04003404,"domain_scores_codex":[0.998861,0.0001469363,0.0001512331,0.0003931658,0.0002572508,0.0001905526],"domain_scores_gemma":[0.9975816,0.0006385358,0.00023454,0.0006633513,0.0005942677,0.000287767],"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":[0.00002829409,0.00001143344,0.0003917465,0.0004897272,0.00001563915,0.00001492499,0.0000243021,0.0001324091,0.000106708,0.0004178593,0.9969822,0.001384927],"study_design_scores_gemma":[0.00006765778,0.000007556669,0.001857143,0.0001856722,0.00001458954,0.00003804403,0.00007231624,0.0001724449,0.0001836381,0.0008015312,0.9965815,0.00001789384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004669347,0.00003045698,0.00005071167,0.00003600165,0.00001280062,0.000005289481,0.9987118,0.0004362977,0.0006699226],"genre_scores_gemma":[0.0001468874,0.00003139204,0.0001753516,0.00003785653,0.00000297436,0.00003225026,0.9990387,0.0001310655,0.0004036248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589953,"threshold_uncertainty_score":0.4717078,"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."}}