{"id":"W4246268805","doi":"10.22237/jmasm/1241136000","title":"Front Matter","year":2009,"lang":"en","type":"paratext","venue":"Journal of Modern Applied Statistical Methods","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.001357379,0.001986609,0.001591531,0.00208365,0.0009548122,0.005899259,0.0009832442,0.002681089,0.872461],"category_scores_gemma":[0.006164477,0.0005783099,0.0005612682,0.001746117,0.001132697,0.003293851,0.001880273,0.002083607,0.8752351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006899764,"about_ca_system_score_gemma":0.0009852424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119742,"about_ca_topic_score_gemma":0.001951454,"domain_scores_codex":[0.9993677,0.00009490776,0.00005675228,0.0002282985,0.00019338,0.00005913359],"domain_scores_gemma":[0.9970474,0.001133598,0.0002130808,0.0003816789,0.0007473305,0.000476886],"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":[0.00005621855,0.00005915987,0.0004114763,0.0002453262,0.00001365697,0.00008779451,0.00004272092,0.0004505033,0.0007719689,0.01045208,0.6846396,0.3027695],"study_design_scores_gemma":[0.0000404409,0.00005441238,0.001166708,0.0003302502,0.00001874931,0.0002370453,0.00006983557,0.001852957,0.0005313342,0.008559346,0.9871198,0.00001915317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001856622,0.001729957,0.01969041,0.006233202,0.006278206,0.000205345,0.008990992,0.005680859,0.9493344],"genre_scores_gemma":[0.005448459,0.001187072,0.005703239,0.001149991,0.0009870226,0.0001012687,0.002623145,0.001001959,0.9817979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.127539,"threshold_uncertainty_score":0.1819189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501566883607826,"score_gpt":0.4127462216537462,"score_spread":0.367730552817668,"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."}}