{"id":"W7039133736","doi":"","title":"LNO Network Sites Data Training Needs","year":2012,"lang":"en","type":"article","venue":"UNM’s Digital Repository (University of New Mexico)","topic":"Space Technology and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Quarter (Canadian coin); Data collection; Training set; Information system; Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004604744,0.0001111395,0.0001500847,0.00007372713,0.0001373775,0.00002220059,0.0005189539,0.0001293108,0.00002542871],"category_scores_gemma":[0.00001235863,0.0001449571,0.0000478076,0.0003252192,0.0001032528,0.0009532786,0.0001790173,0.0001478,0.00005100972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003479005,"about_ca_system_score_gemma":0.00002669936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573339,"about_ca_topic_score_gemma":0.000009136392,"domain_scores_codex":[0.9994055,0.000005354624,0.00008913326,0.000128544,0.00009826979,0.0002731663],"domain_scores_gemma":[0.9991918,0.00005080777,0.00004551255,0.0005564725,0.00001637416,0.0001390849],"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":[0.00009236164,0.0004409562,0.2771844,0.0001612111,0.001220607,0.00006958704,0.01731936,0.01447611,0.02176865,0.04250531,0.5210418,0.1037197],"study_design_scores_gemma":[0.002232729,0.0002079915,0.08577911,0.000266585,0.0005265111,0.0003692608,0.04083087,0.01900534,0.007210003,0.005167124,0.8362974,0.002107096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425837,0.001266829,0.02069127,0.0002569559,0.0003921347,0.0001751419,0.00004587202,0.001162986,0.1334251],"genre_scores_gemma":[0.9947179,0.00001570923,0.001707632,0.00001073839,0.0001660021,1.561505e-7,0.00005023434,0.00001528986,0.003316326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152556,"threshold_uncertainty_score":0.5911178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120874976939352,"score_gpt":0.2105009361596576,"score_spread":0.1692921863902641,"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."}}