{"id":"W4250116557","doi":"10.1017/s0007680500002932","title":"BHR volume 83 issue 3 Cover and Front matter","year":2009,"lang":"en","type":"article","venue":"The Business History Review","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University","funders":"Universidad Complutense de Madrid; University of Illinois at Urbana-Champaign; University of Melbourne; Economic History Society; University of Wollongong; Harvard University; University of Oxford; University of Cambridge","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Content (measure theory); Environmental science; Computer science; Geography; Mathematics; Engineering; Physics; Mechanical engineering; Meteorology; Thermodynamics; Mathematical analysis","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":[0.0007925281,0.0005928857,0.0008429744,0.001612155,0.001127954,0.00382665,0.0007360423,0.001916575,0.8108735],"category_scores_gemma":[0.001818054,0.0003097615,0.0005652372,0.001207095,0.0005591833,0.00117479,0.001255325,0.001660502,0.7454472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345561,"about_ca_system_score_gemma":0.001274813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766246,"about_ca_topic_score_gemma":0.005125426,"domain_scores_codex":[0.9992771,0.00005732107,0.00003046088,0.0001303145,0.0004234696,0.00008134064],"domain_scores_gemma":[0.9985318,0.0002011424,0.00005754661,0.0001962455,0.0006967498,0.0003166021],"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":[0.00005200694,0.00006385747,0.0002783674,0.0002467389,0.00001032796,0.00009873456,0.00001989169,0.00004403127,0.001064628,0.002145792,0.9045959,0.09137983],"study_design_scores_gemma":[0.000009274154,0.00002098793,0.001316097,0.00009108381,0.000004301766,0.00009331942,0.00002223863,0.00005133638,0.000327665,0.0003674969,0.9976916,0.000004526488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001192214,0.004646761,0.0003803587,0.004819812,0.008435144,0.000109947,0.001998758,0.0009577951,0.9774591],"genre_scores_gemma":[0.003157131,0.00158263,0.0002345947,0.001046523,0.002066437,0.00001932352,0.0006802024,0.0001665646,0.9910466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1891265,"threshold_uncertainty_score":0.2697659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043058586980865,"score_gpt":0.1971805478441608,"score_spread":0.1567499619743521,"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."}}