{"id":"W2346012900","doi":"10.1080/02664763.2016.1174194","title":"<i>L</i><sup>1</sup>-distance and classification problem by Bayesian method","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Lethbridge","keywords":"Bayesian probability; Relation (database); MATLAB; Mathematics; Computer science; Econometrics; Statistics; Probability density function; Algorithm; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104256,0.0002140337,0.0004911408,0.00006967484,0.00009529531,0.00003877186,0.0001692762,0.0001004309,0.00004893377],"category_scores_gemma":[0.0006905302,0.0001408815,0.00004122703,0.0000993612,0.0001358529,0.0001226302,0.00003405262,0.0002317412,0.000003976281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008468221,"about_ca_system_score_gemma":0.000065499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.35308e-7,"about_ca_topic_score_gemma":9.703649e-7,"domain_scores_codex":[0.9980794,0.0001144376,0.0008647626,0.0002427987,0.0004093498,0.0002892679],"domain_scores_gemma":[0.995443,0.00311417,0.00072595,0.0002120168,0.0002627882,0.0002420994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001312152,0.00007170533,0.000008404154,0.00008292637,0.00004002039,0.000008863943,0.0002077664,0.00002505202,0.005318135,0.7352425,0.01671169,0.2421517],"study_design_scores_gemma":[0.0009790268,0.0001433613,0.00001377154,0.0000944099,0.0001007278,0.00003886335,0.0001633602,0.006476348,0.0007519539,0.9748897,0.01613807,0.0002104358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001094534,0.00007918056,0.9963362,0.0003508823,0.00003899742,0.0002078826,0.0005170348,0.00001965576,0.002340779],"genre_scores_gemma":[0.0231264,0.0002452956,0.9760066,0.0001027848,0.00008825498,0.00001171529,0.000003448976,0.00004270427,0.0003727995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2419412,"threshold_uncertainty_score":0.574498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986414214939088,"score_gpt":0.3765667825173506,"score_spread":0.3267026403679597,"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."}}