{"id":"W6887251275","doi":"10.15468/dl.wxbjv9","title":"Occurrence Download","year":2020,"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":[0.0009515215,0.00201256,0.00161269,0.005443322,0.0009877213,0.002477051,0.002938129,0.001951005,0.1516608],"category_scores_gemma":[0.005748605,0.0009186915,0.001126482,0.01137986,0.0004682951,0.002309957,0.002545719,0.001899276,0.197019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869658,"about_ca_system_score_gemma":0.002900633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03744418,"about_ca_topic_score_gemma":0.05731944,"domain_scores_codex":[0.9989815,0.0001222972,0.0001310472,0.0003447256,0.000235854,0.0001844823],"domain_scores_gemma":[0.9974636,0.0006475844,0.0002334269,0.0006522497,0.0006835417,0.0003195666],"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":[0.00003046379,0.0000104414,0.0003624065,0.0005164581,0.00001451511,0.00001571539,0.00002443498,0.0001266362,0.000113821,0.0003905966,0.9970355,0.001359013],"study_design_scores_gemma":[0.00006738827,0.000007051969,0.002085229,0.0001786106,0.00001374972,0.00003644565,0.0000765572,0.000138936,0.0001912696,0.0007079709,0.9964777,0.00001919405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003427228,0.00001982264,0.00003345194,0.00002733845,0.000008789928,0.000004013326,0.9990239,0.0003143449,0.0005340172],"genre_scores_gemma":[0.0001367586,0.00002681915,0.0001525552,0.00003447752,0.000002551022,0.00002984287,0.9991008,0.0001230215,0.0003931818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483393,"threshold_uncertainty_score":0.5073558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}