{"id":"W6924783461","doi":"10.15468/dl.yt3h78","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Variety (cybernetics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009559875,0.0002122723,0.0001732477,0.00009096911,0.0001217923,0.00006800619,0.0003118607,0.0002058359,0.0001846234],"category_scores_gemma":[0.00003286554,0.0002271955,0.00009659147,0.0003046239,0.00005150276,0.0003270007,0.0001106009,0.0002269063,0.5005224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646387,"about_ca_system_score_gemma":0.00004582118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009504874,"about_ca_topic_score_gemma":0.000008269531,"domain_scores_codex":[0.9990973,0.00001991345,0.0002406371,0.0001117738,0.0003246228,0.0002057286],"domain_scores_gemma":[0.9995118,0.00002600493,0.00005601868,0.000229604,0.00008357274,0.00009303643],"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":[0.00000750436,0.00000406416,0.00002579074,0.0001574182,0.00003399053,0.000002231973,0.0000226451,0.006757069,1.97775e-8,5.831171e-8,0.9908692,0.002119973],"study_design_scores_gemma":[0.0001150055,0.00001212222,0.00008450548,0.000002193557,0.00002285648,0.000002772651,0.00002135179,0.00001200206,0.000001057386,0.000005972851,0.9994947,0.0002254486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007572582,0.00001601507,0.0001726683,0.00003125349,0.0007156645,0.0001651852,0.9982318,0.0004788673,0.0001128787],"genre_scores_gemma":[0.00001172505,0.00004811282,0.000002457426,0.0001300543,0.000002185034,0.000003710289,0.9998016,2.130608e-8,7.352393e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5003378,"threshold_uncertainty_score":0.9264765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174884315956947,"score_gpt":0.1966553706847993,"score_spread":0.1849065275252298,"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."}}