{"id":"W4230163349","doi":"10.1632/pmla.2017.132.1.1","title":"MLA volume 132 issue 1 Cover and Front matter","year":2017,"lang":"en","type":"article","venue":"PMLA/Publications of the Modern Language Association of America","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brock University; Yeshiva University; Simon Fraser University; University of Rochester; University of Toronto; University of Cambridge; Queens College, City University of New York; Pennsylvania State University; University of California, Davis; University of Minnesota; York University; University of Pennsylvania","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Computer science; Environmental science; Engineering; Geography; Physics; Mathematics; Meteorology; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000327693,0.00007858419,0.0002743322,0.00008525771,0.0002516734,0.000101793,0.0004701115,0.00004735464,0.007173873],"category_scores_gemma":[0.0005000921,0.00007515826,0.00009758697,0.00005421986,0.0001606208,0.0002959867,0.0002356825,0.00005878114,0.004455286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008860757,"about_ca_system_score_gemma":0.00001302668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008133273,"about_ca_topic_score_gemma":0.000006786672,"domain_scores_codex":[0.9992214,0.00001266756,0.0003505658,0.0002200472,0.00005376668,0.0001414884],"domain_scores_gemma":[0.9977478,0.00004206695,0.001402604,0.0006967637,0.00008096437,0.00002976383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000004377144,0.00008783427,0.4017852,0.00001795768,0.0001842973,4.025552e-8,0.004488458,0.00005648791,0.00005692362,0.00139669,0.590663,0.001258719],"study_design_scores_gemma":[0.0004220843,0.00001289938,0.5276047,0.00001012935,0.00003241172,3.796505e-7,0.0005623051,0.005040166,0.00009441801,0.00226152,0.4637784,0.0001805946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1109044,0.001244497,0.002320682,0.03103587,0.001143235,0.0004044289,0.002204987,0.00003587309,0.8507061],"genre_scores_gemma":[0.5466939,0.0000551429,0.0005211596,0.0002317018,0.00003418374,0.00001157426,0.000007829915,0.000007285801,0.4524372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4357896,"threshold_uncertainty_score":0.9963199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465329351708089,"score_gpt":0.2199540363129859,"score_spread":0.205300742795905,"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."}}