{"id":"W6887140946","doi":"10.15468/dl.ty4re3","title":"Occurrence Download","year":2020,"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":[0.001005325,0.001771434,0.001376363,0.005458917,0.0007293667,0.002130534,0.002411342,0.001626741,0.1649454],"category_scores_gemma":[0.00511418,0.0007861995,0.001057063,0.01039594,0.0003855588,0.00204864,0.002280366,0.001633032,0.2126765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487733,"about_ca_system_score_gemma":0.002150401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202887,"about_ca_topic_score_gemma":0.03230986,"domain_scores_codex":[0.9989867,0.0001356794,0.0001371778,0.0003188834,0.0002468658,0.0001747182],"domain_scores_gemma":[0.9975674,0.0005918459,0.0002519515,0.0006448181,0.0006409751,0.0003030291],"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":[0.00002948295,0.00001004212,0.000364071,0.0004449388,0.00001384037,0.00001304251,0.00001791934,0.0001347438,0.0001208165,0.0003546278,0.9968811,0.001615338],"study_design_scores_gemma":[0.00006379375,0.000008785609,0.002270843,0.000161289,0.00001270605,0.00003517171,0.00005977935,0.0001493286,0.0002113098,0.0006999167,0.9963099,0.000017113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003662425,0.00001998017,0.00003260583,0.00002830961,0.00000900679,0.000004442195,0.9990096,0.0002744255,0.0005849847],"genre_scores_gemma":[0.0001530534,0.00002715962,0.0001502621,0.0000379231,0.000003255255,0.00003040341,0.999014,0.0001026043,0.0004813341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8350546,"threshold_uncertainty_score":0.5517974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}