{"id":"W6887035094","doi":"10.15468/dl.mcz9a3","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; Order (exchange)","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":[0.001016914,0.001933507,0.001657274,0.005888718,0.0009054125,0.002487125,0.002778593,0.001968121,0.1604603],"category_scores_gemma":[0.005977114,0.000935593,0.001108879,0.01191426,0.0004510814,0.002287016,0.002523175,0.001841576,0.2026418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752773,"about_ca_system_score_gemma":0.002548212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02524088,"about_ca_topic_score_gemma":0.03849524,"domain_scores_codex":[0.9989259,0.0001322784,0.0001512481,0.0003554436,0.0002454683,0.000189742],"domain_scores_gemma":[0.9973273,0.0007178962,0.0002712485,0.0006615273,0.0006874614,0.0003346401],"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":[0.00003492295,0.00001147205,0.0004068853,0.000682689,0.00001681453,0.00001758631,0.00002407383,0.0001301842,0.0001433392,0.0004067625,0.9966792,0.001445996],"study_design_scores_gemma":[0.00007532981,0.000008230451,0.002214847,0.0002102007,0.00001540889,0.0000412647,0.00007086346,0.0001282957,0.0002030066,0.0006349807,0.9963794,0.00001810172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003606419,0.00002316263,0.00003084561,0.00002683506,0.000008576402,0.000004122611,0.9990871,0.0002584982,0.0005247254],"genre_scores_gemma":[0.0001438547,0.00003165951,0.0001426569,0.00003634232,0.000002810065,0.00003163156,0.9991267,0.0001042892,0.0003799962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395397,"threshold_uncertainty_score":0.5367932,"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."}}