{"id":"W6962200082","doi":"10.15468/dl.jzxxqs","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); State (computer science); Range (aeronautics); Scheme (mathematics)","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":[0.0009754944,0.002053741,0.001773284,0.005792698,0.00109927,0.002827968,0.00301325,0.002107427,0.1864416],"category_scores_gemma":[0.006571919,0.00106375,0.001345757,0.01131644,0.000468802,0.00253445,0.002862175,0.002281412,0.2525443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825482,"about_ca_system_score_gemma":0.002704302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296858,"about_ca_topic_score_gemma":0.03696468,"domain_scores_codex":[0.9988322,0.0001450182,0.0001578184,0.0004045092,0.0002762586,0.0001842611],"domain_scores_gemma":[0.9971354,0.0008070101,0.0002509895,0.0007692543,0.0007234223,0.0003138357],"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":[0.00003039798,0.00001086263,0.0003667664,0.0005772295,0.00001527585,0.00001589047,0.00002515773,0.000129073,0.000115669,0.0003822888,0.996493,0.00183841],"study_design_scores_gemma":[0.00005823309,0.00000672702,0.001631378,0.0001813975,0.00001324516,0.00003719681,0.00006862399,0.0001429574,0.0001657776,0.0006519241,0.997027,0.00001566394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003487307,0.00002562688,0.00004696901,0.0000360569,0.00001202883,0.000005151829,0.9988049,0.000411619,0.000622887],"genre_scores_gemma":[0.0001331148,0.00003427,0.0002118992,0.00004155721,0.000003261681,0.00004291131,0.9988415,0.0001600867,0.0005313459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8135585,"threshold_uncertainty_score":0.6237091,"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."}}