{"id":"W6924669289","doi":"10.15468/dl.mmnrke","title":"Occurrence Download","year":2018,"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); SAINT; 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":[0.0009057822,0.0017377,0.001419222,0.005434273,0.0009581507,0.002649713,0.00266751,0.001970768,0.1396166],"category_scores_gemma":[0.006699619,0.0008553483,0.001141069,0.01076652,0.0004302918,0.002305132,0.002458686,0.002037762,0.1850386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600545,"about_ca_system_score_gemma":0.002452545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118897,"about_ca_topic_score_gemma":0.03429363,"domain_scores_codex":[0.9989717,0.0001481637,0.0001320878,0.0003558689,0.0002280107,0.0001642126],"domain_scores_gemma":[0.997514,0.0007623361,0.000233791,0.000635176,0.0005932063,0.000261439],"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":[0.00002467284,0.00001095544,0.0004368418,0.0005401011,0.0000153888,0.0000153391,0.00002729993,0.0001420389,0.00009316806,0.0004300962,0.9966435,0.001620564],"study_design_scores_gemma":[0.00006415196,0.000007484686,0.001867957,0.0002140516,0.00001470055,0.00003935963,0.0000874133,0.0001894144,0.0001627339,0.0008298295,0.9965071,0.00001581621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005358917,0.00003799806,0.00005101235,0.00004771859,0.00001453903,0.000005806975,0.9987545,0.0003797775,0.0006551159],"genre_scores_gemma":[0.0001940323,0.00004657517,0.0002120911,0.00004879942,0.000004185219,0.00004831265,0.9987683,0.0001399143,0.0005378096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8603834,"threshold_uncertainty_score":0.4670641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}