{"id":"W4233212301","doi":"10.1017/s1537781417000238","title":"JGA volume 16 issue 4 Cover and Front matter","year":2017,"lang":"en","type":"article","venue":"The Journal of the Gilded Age and Progressive Era","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front cover; Front (military); Volume (thermodynamics); Cover (algebra); Action (physics); Content (measure theory); Computer science; Physics; Engineering; Mechanical engineering; Mathematics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006988005,0.00009760389,0.0002668573,0.0000361505,0.0006934615,0.000296818,0.0004469611,0.00003523838,0.004696548],"category_scores_gemma":[0.00006539359,0.00005560022,0.00007864015,0.00001477685,0.0003845298,0.0002817511,0.0002893744,0.0001679497,0.00207459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002350164,"about_ca_system_score_gemma":0.000007296413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004386611,"about_ca_topic_score_gemma":0.00000235272,"domain_scores_codex":[0.9993756,0.00002139585,0.000295262,0.0001175995,0.00003406447,0.0001561107],"domain_scores_gemma":[0.9987202,0.00003072468,0.0008530418,0.0003182845,0.00002924159,0.00004845779],"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":[0.00009028913,0.0000348587,0.08115175,0.0000225839,0.0002432862,0.00002510951,0.003275865,0.000008212042,0.000008788082,0.0008775066,0.9112668,0.002994916],"study_design_scores_gemma":[0.0008067968,0.00006019031,0.2087518,0.0000590593,0.00005428549,0.000071812,0.0004455302,0.00006955709,0.00003963632,0.007861186,0.78162,0.0001601717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658467,0.02179131,0.00007658044,0.01865464,0.005318569,0.000347872,0.0001543867,0.000006429087,0.1878036],"genre_scores_gemma":[0.781987,0.000598342,0.00008242919,0.0007220512,0.0003076159,0.000001627027,2.484403e-7,0.000007884948,0.2162929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296469,"threshold_uncertainty_score":0.9987024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359919325295873,"score_gpt":0.2226925412309791,"score_spread":0.1990933479780204,"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."}}