{"id":"W6962140745","doi":"10.15468/dl.s7cdzw","title":"Occurrence Download","year":2022,"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","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":[0.0009774636,0.002041262,0.001627373,0.00485615,0.001030429,0.002564724,0.002899156,0.002159632,0.1500182],"category_scores_gemma":[0.005738185,0.0009110278,0.001196497,0.009382542,0.0004542895,0.002466975,0.002534392,0.002077496,0.2145957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153597,"about_ca_system_score_gemma":0.002271972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020554,"about_ca_topic_score_gemma":0.03662268,"domain_scores_codex":[0.998935,0.000152415,0.0001305304,0.0003816432,0.0002312115,0.000169133],"domain_scores_gemma":[0.9975999,0.0006725061,0.0002214065,0.0006483409,0.0005720645,0.0002857698],"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":[0.0000292885,0.00001228456,0.0003583285,0.0005043211,0.00001426694,0.00001491863,0.00002217442,0.0001226887,0.0001078992,0.0003593538,0.9971705,0.001284003],"study_design_scores_gemma":[0.0000771747,0.000008730835,0.001856287,0.0001784422,0.00001389404,0.00003892515,0.00007316782,0.000155925,0.0001802552,0.0008214245,0.9965772,0.00001859579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000445794,0.0000287975,0.00004660106,0.00003759443,0.00001235256,0.000005387714,0.9988052,0.0003831214,0.0006364234],"genre_scores_gemma":[0.0001618277,0.00003183867,0.0001959244,0.00004503742,0.000003529512,0.00004009813,0.9989296,0.000134538,0.0004577075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499818,"threshold_uncertainty_score":0.5018607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}