{"id":"W4255265490","doi":"10.22237/jmasm/1462075200","title":"Front Matter","year":2016,"lang":"en","type":"paratext","venue":"Journal of Modern Applied Statistical Methods","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Statistics; Econometrics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002804279,0.000513281,0.001615197,0.0004719438,0.00008442985,0.0003625567,0.003007596,0.0003834389,0.01376705],"category_scores_gemma":[0.000239091,0.0003378545,0.0002943967,0.0001745054,0.0001559225,0.0003029208,0.0006412646,0.001096249,0.02156063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214691,"about_ca_system_score_gemma":0.000409654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003004872,"about_ca_topic_score_gemma":4.56659e-7,"domain_scores_codex":[0.9951442,0.0008690631,0.001605821,0.0006765932,0.00110107,0.0006032164],"domain_scores_gemma":[0.9940835,0.002327918,0.001559133,0.00121995,0.0003205221,0.0004889698],"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":[0.00003774349,0.00005651735,8.660578e-7,0.00005552985,0.0002720414,0.0000436655,0.00005787807,0.00003062009,0.0009110019,0.01242793,0.5999036,0.3862026],"study_design_scores_gemma":[0.0009890253,0.000170838,0.0001069318,0.0002249508,0.0004041329,0.0002030601,0.000005444628,0.0128313,0.0009063485,0.2767643,0.7064578,0.0009358407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[2.974857e-7,0.0007218745,0.8641505,0.0005186262,0.001843609,0.0001217602,0.0002703922,0.00001280661,0.1323601],"genre_scores_gemma":[0.0001224195,0.0001427013,0.9663074,0.0009103389,0.0007840017,0.00001217908,0.00002251944,0.00005632162,0.03164209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3852668,"threshold_uncertainty_score":0.9999074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172805264017034,"score_gpt":0.3752919684374352,"score_spread":0.3435639157972649,"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."}}