{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006492835,0.001353203,0.0008745927,0.001695431,0.002195157,0.00639993,0.00193574,0.00351732,0.9470665],"category_scores_gemma":[0.002681544,0.000444836,0.000529634,0.001520805,0.0008735184,0.003390354,0.002763003,0.002370947,0.9250067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056249,"about_ca_system_score_gemma":0.001407966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00217527,"about_ca_topic_score_gemma":0.00563709,"domain_scores_codex":[0.9993174,0.00007114308,0.00003347265,0.0002463729,0.0002210126,0.0001105812],"domain_scores_gemma":[0.9985511,0.0002333162,0.00007281057,0.0001899856,0.0003502999,0.0006024474],"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":[0.000062099,0.00008343212,0.0005568131,0.0002024231,0.000006770254,0.0002215456,0.0001070195,0.00005705192,0.0006425648,0.004144011,0.8143572,0.1795591],"study_design_scores_gemma":[0.000011918,0.00001628529,0.0004680656,0.0001126022,0.000002914733,0.0001583121,0.0001124993,0.00007081087,0.0001467893,0.0008165927,0.9980785,0.000004738954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005704036,0.0007600147,0.0005487156,0.002184956,0.001012359,0.00005524296,0.001564793,0.0009525051,0.992351],"genre_scores_gemma":[0.002246299,0.0007810283,0.0006720655,0.001508814,0.0002306909,0.00003897475,0.0015348,0.0003490407,0.9926382],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05293345,"threshold_uncertainty_score":0.07550305,"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."}}