{"id":"W6887240998","doi":"10.15468/dl.yc3gqn","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":[0.001031296,0.002022598,0.001633121,0.005024052,0.001028459,0.002619653,0.002869996,0.002119751,0.1646329],"category_scores_gemma":[0.006031269,0.0009402516,0.001162516,0.009738739,0.0004652232,0.002457893,0.002660405,0.002080803,0.2243371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577417,"about_ca_system_score_gemma":0.002344035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072251,"about_ca_topic_score_gemma":0.0356025,"domain_scores_codex":[0.9989497,0.0001502372,0.0001323504,0.0003726413,0.0002252192,0.0001699959],"domain_scores_gemma":[0.9974818,0.0007303291,0.0002360988,0.0006612342,0.0005940178,0.0002964847],"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":[0.00002841059,0.00001181617,0.0003515815,0.0005318101,0.00001437042,0.00001474306,0.00002418068,0.0001138729,0.0001085952,0.0003755241,0.997159,0.001266162],"study_design_scores_gemma":[0.00007755061,0.000008133587,0.001799134,0.0001865196,0.00001381315,0.00003653396,0.00007435519,0.0001355127,0.0001784524,0.0008016176,0.9966703,0.00001803803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004069674,0.00002664207,0.00004467008,0.00003598984,0.00001141277,0.000005371435,0.9988403,0.0003634691,0.0006314667],"genre_scores_gemma":[0.0001620329,0.00003308801,0.0001983545,0.00004753064,0.000003478747,0.00004396469,0.9988771,0.0001510539,0.0004832958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353671,"threshold_uncertainty_score":0.550752,"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."}}