{"id":"W4233035407","doi":"10.1017/9781108993456.003","title":"Preface to the first edition","year":2021,"lang":"en","type":"other","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia","funders":"","keywords":"Computer science; Code (set theory); Programming language; Software engineering; Data science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009491315,0.0001072663,0.0001200889,0.0000889548,0.00004066101,0.0002051295,0.001475855,0.0000628677,0.005240463],"category_scores_gemma":[0.00002006487,0.00006502941,0.00005149031,0.0004350201,0.000008941039,0.00005466145,0.0005368456,0.00007470368,0.001799317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719878,"about_ca_system_score_gemma":0.00003380463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002864141,"about_ca_topic_score_gemma":0.004566252,"domain_scores_codex":[0.9991482,0.00002228533,0.00008153709,0.0003619358,0.0002605534,0.0001254928],"domain_scores_gemma":[0.9985102,0.00002071747,0.00004993151,0.00135406,0.00002130566,0.00004381947],"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":[5.464264e-8,0.000006624895,0.000003492569,0.000005497614,0.00002212954,0.000002902855,0.00002334634,0.000007261849,5.798968e-7,0.004066065,0.9936626,0.002199473],"study_design_scores_gemma":[0.00001919883,0.000005309168,0.00005220364,0.00004255061,0.000007457608,0.000001691609,0.000003736191,0.0008002826,0.00002018476,0.00003083437,0.9989208,0.00009578038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.330603e-8,0.0001258529,0.4279181,0.006651796,0.0004502161,0.00008004074,0.00000775674,0.0001147688,0.5646514],"genre_scores_gemma":[0.00001354433,0.00002079741,0.022102,0.003269885,0.0005622277,0.00002109637,0.00004745877,0.00004683279,0.9739162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4092648,"threshold_uncertainty_score":0.9989779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121018847166707,"score_gpt":0.2378271476199207,"score_spread":0.22572526290325,"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."}}