{"id":"W2494233375","doi":"10.1017/cbo9781139194648.004","title":"A brief introduction to R","year":2013,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Data Analysis with R","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Section (typography); Rest (music); Cover (algebra); Computer science; Engineering; Physics; Mechanical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001176209,0.000352933,0.000402673,0.0004166233,0.0001552177,0.0002313514,0.002100119,0.0002286981,0.0000189368],"category_scores_gemma":[0.00001598523,0.0004178539,0.000191414,0.00003002116,0.00009152168,0.000447531,0.001598091,0.0003578097,0.0005543681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480265,"about_ca_system_score_gemma":0.0000961285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002601401,"about_ca_topic_score_gemma":0.000003543398,"domain_scores_codex":[0.9980142,0.00003694034,0.0001991181,0.001029234,0.0004030395,0.0003174389],"domain_scores_gemma":[0.9972691,0.00003011834,0.0001986425,0.001921371,0.0002764339,0.0003043448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005175221,0.000003420688,1.251051e-7,0.0000100655,0.00006787498,0.00005089908,0.00001906751,0.000004331712,0.00002979852,0.6054025,0.3894476,0.004959111],"study_design_scores_gemma":[0.0001700673,0.0000456273,0.00000910876,0.00003425307,0.00009916705,0.00001763309,0.000003630978,0.0005056565,0.0002035768,0.00002237643,0.9984515,0.0004373888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009717097,0.00002498916,0.09824303,0.0003635939,0.0004205393,0.0003592402,0.00006667888,0.0002694318,0.9002428],"genre_scores_gemma":[0.00006787213,0.00001510709,0.004575164,0.0002816452,0.0005384999,0.000001106543,0.00005146676,0.00002777334,0.9944414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6090039,"threshold_uncertainty_score":0.9998273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465971670667877,"score_gpt":0.1869783111155501,"score_spread":0.1723185944088714,"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."}}