{"id":"W6906127383","doi":"10.15468/dl.uah4yv","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); Set (abstract data type); Order (exchange)","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":[0.0009454789,0.001906198,0.001531018,0.004748403,0.0009463419,0.002421393,0.002742602,0.001954717,0.1547962],"category_scores_gemma":[0.005598044,0.000903699,0.001163246,0.00953356,0.000435074,0.00212578,0.002408135,0.001925542,0.2129121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519027,"about_ca_system_score_gemma":0.002254248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295215,"about_ca_topic_score_gemma":0.03579802,"domain_scores_codex":[0.9990299,0.0001291656,0.000118568,0.0003353402,0.0002253215,0.0001616385],"domain_scores_gemma":[0.997745,0.0006365654,0.000210585,0.0005987979,0.0005460909,0.000262892],"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":[0.0000270223,0.00001009728,0.0003654215,0.0004689492,0.0000138844,0.00001347177,0.00002240992,0.0001276728,0.0001163311,0.000366776,0.997033,0.001434916],"study_design_scores_gemma":[0.00006893972,0.00000770793,0.001922585,0.0001800318,0.00001433952,0.00003616135,0.00007232004,0.000163753,0.0001958557,0.0007621321,0.9965587,0.00001731908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004169661,0.00002481567,0.00004887304,0.00003350133,0.0000116482,0.000005045067,0.9987954,0.000416551,0.0006224823],"genre_scores_gemma":[0.0001603565,0.00003017162,0.0001994332,0.00004024915,0.000003147486,0.00003909051,0.9989294,0.0001608511,0.0004372952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452038,"threshold_uncertainty_score":0.5178448,"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."}}