{"id":"W6887021405","doi":"10.15468/dl.mcdte9","title":"Occurrence Download","year":2022,"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","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":[0.001063925,0.002013072,0.001720797,0.005272486,0.001045253,0.002818595,0.002925431,0.002202719,0.160894],"category_scores_gemma":[0.006729093,0.0009453178,0.001232855,0.01048798,0.000459549,0.002389259,0.002657482,0.00209509,0.2167424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580212,"about_ca_system_score_gemma":0.002457653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128955,"about_ca_topic_score_gemma":0.03549438,"domain_scores_codex":[0.9988432,0.0001649983,0.0001527664,0.0004080255,0.0002436248,0.000187325],"domain_scores_gemma":[0.9972161,0.0008276101,0.0002644591,0.0007133472,0.0006591367,0.0003192223],"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":[0.0000313709,0.00001153956,0.0003939427,0.0006063526,0.00001669605,0.00001528993,0.00002360851,0.0001239978,0.0001089263,0.0003829036,0.9969652,0.001320016],"study_design_scores_gemma":[0.00007881364,0.000008560719,0.001845764,0.0002166971,0.00001605986,0.00003675949,0.0000739309,0.0001437186,0.0001720779,0.0008225362,0.996566,0.00001915106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003606659,0.00002620375,0.00003920993,0.00003396496,0.00001101012,0.000004800384,0.9990079,0.0003150598,0.0005258592],"genre_scores_gemma":[0.0001526559,0.00003468363,0.000183262,0.00004711723,0.000003401894,0.00004200091,0.9989674,0.000134393,0.00043508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.839106,"threshold_uncertainty_score":0.5382441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}