{"id":"W4285465633","doi":"10.1017/9781108993456","title":"A First Course in Statistical Programming with R","year":2021,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Data Analysis with R","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia","funders":"","keywords":"Computer science; Code (set theory); Course (navigation); Programming language; C programming language; Software engineering; Data science; Software; Engineering; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003668451,0.002045343,0.00235793,0.002371276,0.0008582073,0.003717024,0.002640014,0.001839979,0.1730692],"category_scores_gemma":[0.01498226,0.001611346,0.001930759,0.004386023,0.001169527,0.004034633,0.002519806,0.006784673,0.248499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009629109,"about_ca_system_score_gemma":0.002118301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009335281,"about_ca_topic_score_gemma":0.001700263,"domain_scores_codex":[0.996577,0.0008628466,0.0002551818,0.0005694764,0.001631301,0.0001041958],"domain_scores_gemma":[0.9911174,0.005461016,0.0002620866,0.001202316,0.001624257,0.0003330677],"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":[0.00001136882,0.00002822454,0.0001086902,0.0003513457,0.00002262371,0.00006652429,0.000115958,0.0004120533,0.0002770159,0.01948095,0.809961,0.1691642],"study_design_scores_gemma":[0.00000925558,0.00001407426,0.0001959288,0.0001828073,0.000006509568,0.0001850851,0.00002760309,0.0005813732,0.0001657313,0.02455506,0.9740615,0.00001508669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007039102,0.03100869,0.5466582,0.02630029,0.007622768,0.0004870812,0.01484522,0.05161093,0.3207629],"genre_scores_gemma":[0.005562562,0.02943381,0.5343249,0.01456969,0.004874028,0.00170439,0.016529,0.03114278,0.3618588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1730692,"threshold_uncertainty_score":0.578974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345541887272999,"score_gpt":0.2065228774397496,"score_spread":0.1930674585670196,"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."}}