{"id":"W6943645693","doi":"10.15468/dl.nxr3ts","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.00105601,0.001904367,0.001574911,0.00479347,0.001034297,0.00259507,0.002820858,0.002224832,0.1571131],"category_scores_gemma":[0.006162166,0.0009202408,0.001275342,0.009203202,0.0004581737,0.002389472,0.002526959,0.002107685,0.2156304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615839,"about_ca_system_score_gemma":0.002377457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128934,"about_ca_topic_score_gemma":0.0346024,"domain_scores_codex":[0.9989102,0.0001568978,0.0001382125,0.0003847257,0.0002334215,0.000176544],"domain_scores_gemma":[0.9973686,0.0007922901,0.0002262107,0.0007087694,0.0006175117,0.0002865915],"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":[0.00003100354,0.00001280217,0.0003676199,0.0005416078,0.00001457814,0.00001560205,0.00002319312,0.0001313791,0.0001287463,0.000387448,0.9969364,0.001409618],"study_design_scores_gemma":[0.00007527692,0.00000946943,0.001941935,0.0002009846,0.00001489846,0.00003858779,0.0000766535,0.0001628508,0.0002045175,0.0008083583,0.9964474,0.00001910269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004334779,0.00002583904,0.00004473242,0.00003853205,0.00001257776,0.00000567806,0.9988462,0.0003747281,0.0006083765],"genre_scores_gemma":[0.0001589083,0.00003237056,0.0002025429,0.00004523257,0.00000337225,0.00004324915,0.9989282,0.0001391149,0.0004469157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428869,"threshold_uncertainty_score":0.5255958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}