{"id":"W6924702951","doi":"10.15468/dl.lv13gi","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nietzsche, Schopenhauer, and Hegel","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Software; Dreissena","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":[0.0009299594,0.002151451,0.001550064,0.00518782,0.0009799368,0.002531323,0.003008891,0.002024104,0.1293941],"category_scores_gemma":[0.005581709,0.0008089415,0.001151993,0.0103677,0.000448768,0.002144182,0.002609446,0.001999293,0.2025924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589792,"about_ca_system_score_gemma":0.002308649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093047,"about_ca_topic_score_gemma":0.0355865,"domain_scores_codex":[0.9989554,0.0001422504,0.0001283139,0.0003558976,0.0002458502,0.0001722685],"domain_scores_gemma":[0.9979372,0.0005339456,0.0001857077,0.0005726144,0.0005098955,0.0002606741],"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":[0.00002617478,0.00001307325,0.0003698008,0.0004304347,0.00001458774,0.00001595313,0.00002106264,0.0001301326,0.00009605258,0.0003768966,0.9970208,0.00148508],"study_design_scores_gemma":[0.00006577359,0.000008076102,0.001717831,0.000167285,0.00001320526,0.00004215834,0.00007461325,0.0001943529,0.0001926239,0.0008238418,0.9966844,0.00001586782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005447003,0.00003536821,0.00004736153,0.00003933943,0.00001272895,0.00000554936,0.9987341,0.0003979577,0.0006730748],"genre_scores_gemma":[0.0001479566,0.00003209311,0.0001617264,0.00003300476,0.000003081601,0.00003220204,0.9991026,0.0000936508,0.0003937805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8706058,"threshold_uncertainty_score":0.4328665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591972369654722,"score_gpt":0.2211027189353202,"score_spread":0.195182995238773,"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."}}