{"id":"W6961859063","doi":"10.15468/dl.p54p0d","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Confidentiality","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":[0.0009009701,0.001857645,0.001555949,0.00468698,0.0008492829,0.002411028,0.002760657,0.001924007,0.1310684],"category_scores_gemma":[0.005507895,0.0007498275,0.001082771,0.008984227,0.0004037813,0.00209885,0.002255891,0.001902002,0.185469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00141448,"about_ca_system_score_gemma":0.002079111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738123,"about_ca_topic_score_gemma":0.02970017,"domain_scores_codex":[0.9990834,0.0001328358,0.000114466,0.0003195612,0.0002028957,0.0001467811],"domain_scores_gemma":[0.9978363,0.000625753,0.0002043693,0.0005382627,0.0005427244,0.0002525535],"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":[0.00003234181,0.00001296828,0.0004706247,0.0005694024,0.00001794249,0.00001691082,0.00002319741,0.000172776,0.0001131066,0.0003992596,0.9965516,0.001619875],"study_design_scores_gemma":[0.00008342593,0.000009356907,0.00207203,0.0001970681,0.00001562624,0.00003843231,0.0000729779,0.0002218352,0.0001857762,0.0008926232,0.9961941,0.00001669883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004907286,0.00003219419,0.00004659313,0.00003531749,0.00001135706,0.000005194873,0.9989008,0.0003709842,0.000548515],"genre_scores_gemma":[0.0001678114,0.00003343401,0.0001842047,0.0000377177,0.000003298339,0.00003485204,0.9990362,0.0001083702,0.0003940787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8689316,"threshold_uncertainty_score":0.4384674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685376828503663,"score_gpt":0.2025224823954826,"score_spread":0.185668714110446,"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."}}