{"id":"W6943633409","doi":"10.15468/dl.k3vzj3","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":[0.001033018,0.002070953,0.001675598,0.004786548,0.00104478,0.00264026,0.002891299,0.00224383,0.1546801],"category_scores_gemma":[0.00597232,0.0009408712,0.00116788,0.009544931,0.0004687001,0.002519903,0.00264645,0.002146648,0.2261779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596265,"about_ca_system_score_gemma":0.002361115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014654,"about_ca_topic_score_gemma":0.03575869,"domain_scores_codex":[0.9988977,0.0001593459,0.0001353092,0.0003927723,0.0002394065,0.0001754264],"domain_scores_gemma":[0.9973844,0.0007337608,0.0002438139,0.0007093758,0.0006316637,0.000296963],"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":[0.0000294295,0.00001205156,0.0003477572,0.0005310815,0.00001397348,0.00001463762,0.00002259858,0.0001186316,0.0001100993,0.0003758817,0.9971684,0.001255645],"study_design_scores_gemma":[0.00007583413,0.000008167784,0.001690386,0.0001837914,0.00001334987,0.00003478933,0.00006911172,0.0001417588,0.0001831625,0.0008450014,0.9967363,0.00001831809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003875712,0.00002571119,0.00004360743,0.00003557859,0.00001084248,0.000005207584,0.9988613,0.0003584064,0.0006206569],"genre_scores_gemma":[0.0001561407,0.00003136424,0.0001984596,0.0000454792,0.000003360776,0.00004205096,0.9989139,0.0001423472,0.0004668846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453199,"threshold_uncertainty_score":0.5174566,"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."}}