{"id":"W4244939315","doi":"10.22237/jmasm/1383278400","title":"Front Matter","year":2013,"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; Front (military); Statistics; Geography; Meteorology","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":[0.002183744,0.0005383526,0.00170414,0.0004777262,0.00008752118,0.0006152595,0.003095711,0.0004098871,0.02095142],"category_scores_gemma":[0.0002028911,0.0004087573,0.0002856462,0.0002182742,0.0001387352,0.0003681318,0.0006657104,0.001562374,0.03449001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896182,"about_ca_system_score_gemma":0.0003560082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204925,"about_ca_topic_score_gemma":5.388878e-7,"domain_scores_codex":[0.9950765,0.0008522492,0.001690876,0.0006663279,0.00111409,0.0005999248],"domain_scores_gemma":[0.9945011,0.001781356,0.001582478,0.001225571,0.0003840468,0.0005254851],"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":[0.00001717849,0.00007088554,7.470559e-7,0.00006190066,0.0002677604,0.00002783589,0.00008262155,0.0001519624,0.000487344,0.00883763,0.7146137,0.2753804],"study_design_scores_gemma":[0.0009719995,0.0002288528,0.0002295562,0.0001697833,0.0005809111,0.0002624339,0.00001536481,0.1114148,0.0006846781,0.2638632,0.6202992,0.001279262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[8.29014e-7,0.0008542935,0.8748761,0.0003349411,0.001678431,0.0001768896,0.0001298879,0.0000132005,0.1219355],"genre_scores_gemma":[0.0001284603,0.0001046789,0.9673952,0.001118877,0.0005941806,0.0000215618,0.00004271348,0.00005768866,0.03053657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2741011,"threshold_uncertainty_score":0.9998364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0323950649330669,"score_gpt":0.3678396664096885,"score_spread":0.3354446014766216,"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."}}