{"id":"W2091407929","doi":"10.1353/rah.2013.0008","title":"Train of Catastrophes","year":2013,"lang":"en","type":"article","venue":"Reviews in American History","topic":"American History and Culture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); History; Modernity; Symbol (formal); Government (linguistics); Index (typography); Economic history; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003140599,0.001181582,0.0006215119,0.00187365,0.004630707,0.008292869,0.001519188,0.004360309,0.06713846],"category_scores_gemma":[0.01532007,0.0004571869,0.001157003,0.001421268,0.008451479,0.01131616,0.006770216,0.006806346,0.01113432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759253,"about_ca_system_score_gemma":0.003358432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003839132,"about_ca_topic_score_gemma":0.004945029,"domain_scores_codex":[0.9967705,0.00118593,0.0001756982,0.0004138304,0.0009722072,0.000481818],"domain_scores_gemma":[0.9947255,0.001922332,0.0004898923,0.000685512,0.001334127,0.0008425639],"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":[0.0000497421,0.00004237122,0.001023913,0.0004666428,0.00004276064,0.000574149,0.004332602,0.001027589,0.0003504635,0.2430661,0.6588269,0.09019687],"study_design_scores_gemma":[0.000006529947,0.00004298551,0.000722412,0.0004029548,0.00000920203,0.0004172418,0.003657849,0.0004642883,0.0001402834,0.07055527,0.923555,0.00002588829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01286411,0.0378498,0.03790271,0.2612202,0.0323962,0.0003565036,0.001550136,0.001765633,0.6140947],"genre_scores_gemma":[0.4560979,0.04745685,0.01843883,0.08575664,0.02173429,0.0007849296,0.00183596,0.001258942,0.3666357],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06713846,"threshold_uncertainty_score":0.2246006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021170283891068,"score_gpt":0.2121712678788235,"score_spread":0.1910009839877555,"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."}}