{"id":"W6887042025","doi":"10.15468/dl.nkmkyp","title":"Occurrence Download","year":2023,"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); The Internet; Alien","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":[0.0009946768,0.001940226,0.001532468,0.004960684,0.001047538,0.002480875,0.002767408,0.002116536,0.1432865],"category_scores_gemma":[0.00590066,0.0008893264,0.00129159,0.009537478,0.0004680951,0.002283142,0.002564252,0.001985137,0.2083648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597432,"about_ca_system_score_gemma":0.002394088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352562,"about_ca_topic_score_gemma":0.03899737,"domain_scores_codex":[0.9989356,0.0001463809,0.0001350423,0.0003670084,0.0002395444,0.0001763089],"domain_scores_gemma":[0.9973809,0.0007569625,0.0002329826,0.0007055092,0.0006318043,0.0002916919],"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":[0.00002986144,0.00001318231,0.0004272053,0.0005486535,0.00001455133,0.00001626844,0.00002623232,0.0001237258,0.0001310171,0.0003517928,0.9968187,0.001498885],"study_design_scores_gemma":[0.00007209194,0.00000999899,0.002251989,0.0002078535,0.00001507909,0.00004203173,0.00009025237,0.0001580557,0.0002093493,0.0007001559,0.9962248,0.00001830958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005451208,0.00003081887,0.00004531739,0.00004081914,0.00001409167,0.000006257287,0.9987258,0.0004161274,0.0006662735],"genre_scores_gemma":[0.0001702358,0.00003427283,0.0001956404,0.00004721304,0.000003614318,0.0000432243,0.998898,0.0001367345,0.0004709266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567135,"threshold_uncertainty_score":0.479341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}