{"id":"W6924540646","doi":"10.15468/dl.vfbxhy","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Data collection; Range (aeronautics); R package","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004942433,0.0002686527,0.0002605396,0.00009769285,0.0001351749,0.0004091588,0.001871119,0.0003051885,0.0003333899],"category_scores_gemma":[0.0002121712,0.0002529012,0.000110633,0.0003579558,0.0001209214,0.00258382,0.0008507609,0.0002931249,0.1427032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891729,"about_ca_system_score_gemma":0.0002358373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634997,"about_ca_topic_score_gemma":0.000005185167,"domain_scores_codex":[0.9982145,0.0000639706,0.0003673151,0.0002650914,0.0007860356,0.0003030341],"domain_scores_gemma":[0.998075,0.0000115118,0.0002257234,0.0008023316,0.000655913,0.000229505],"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":[0.00001038416,0.00003041,0.0001028689,0.00004314263,0.00001123624,0.000001075363,0.00002294233,3.99893e-7,6.34053e-8,0.000002774859,0.9976277,0.002147051],"study_design_scores_gemma":[0.000152993,0.000106563,0.00001003675,0.00000401442,0.00001387907,0.000002648806,0.0000170266,9.851102e-7,0.00001516487,0.00001747213,0.9993798,0.0002794194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001522805,0.00001562633,0.0005008347,0.0002389628,0.0005706303,0.0002517651,0.9970975,0.0003173388,0.0009921228],"genre_scores_gemma":[0.00002277067,0.00002543506,0.00003728284,0.0004445669,0.000001235633,0.000004157324,0.9994645,6.179304e-9,7.502216e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1423698,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965907607022152,"score_gpt":0.2477085394653721,"score_spread":0.2080494633951506,"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."}}