{"id":"W6924467022","doi":"10.15468/dl.r3thjk","title":"Occurrence Download","year":2021,"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":[0.001068591,0.002040988,0.001709351,0.005486607,0.001005467,0.002635786,0.003034899,0.002078905,0.1699139],"category_scores_gemma":[0.005797297,0.0009799196,0.001165164,0.01049664,0.0004790259,0.002282868,0.002727263,0.002124763,0.23306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642422,"about_ca_system_score_gemma":0.002394009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197157,"about_ca_topic_score_gemma":0.03355744,"domain_scores_codex":[0.9989055,0.0001437689,0.0001430893,0.0003714946,0.000247711,0.0001883271],"domain_scores_gemma":[0.997428,0.0006894352,0.0002464913,0.0006972681,0.0006242848,0.0003145973],"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":[0.00003498975,0.00001324215,0.0003737312,0.0006125612,0.00001646457,0.00001632869,0.00002570152,0.0001293797,0.0001592597,0.0004167838,0.9966714,0.001530134],"study_design_scores_gemma":[0.00007695957,0.000007951024,0.001835481,0.0001812374,0.00001442998,0.00003483948,0.00006761213,0.000131231,0.0002290201,0.0007208179,0.9966826,0.00001789269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003793564,0.00002142538,0.0000379761,0.00002721502,0.000008775901,0.000005101111,0.9989688,0.000326772,0.0005659845],"genre_scores_gemma":[0.0001348945,0.00002746861,0.00017269,0.00003609958,0.00000274951,0.00004028863,0.9990494,0.0001351627,0.0004012668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300861,"threshold_uncertainty_score":0.5684186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}