{"id":"W2085245994","doi":"10.1017/s0022050704002608","title":"A General-Purpose Technology at Work: The Corliss Steam Engine in the Late-Nineteenth-Century United States","year":2004,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Steam engine; Industrial Revolution; Population; Economy; Engineering; Economics; Political science; Mechanical engineering; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567587,0.0001989034,0.0005140067,0.0006432736,0.0001459792,0.00002903058,0.001072796,0.0001097955,0.000279342],"category_scores_gemma":[0.00003902271,0.0001250137,0.00024935,0.0002675733,0.0003011006,0.0001441799,0.00009751911,0.0004972157,0.0002412405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041092,"about_ca_system_score_gemma":0.00009175683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083644,"about_ca_topic_score_gemma":0.0006516125,"domain_scores_codex":[0.9982812,0.00006711506,0.001136527,0.0001692176,0.00004140376,0.0003045457],"domain_scores_gemma":[0.9980426,0.0001880576,0.001172731,0.0005015422,0.00003495116,0.00006008382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005055603,0.0003679587,0.01362164,0.00001741474,0.000809515,0.00005298083,0.01260072,0.7198932,0.00007140091,0.2075623,0.04280544,0.00169196],"study_design_scores_gemma":[0.001479857,0.0001710435,0.004384317,0.00002517274,0.00006313323,0.0001006095,0.0008088495,0.004595627,0.00001682405,0.02596197,0.9620858,0.000306797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963165,0.01814561,0.0001110348,0.01590697,0.000642665,0.0001649598,0.00002218693,0.000008007443,0.001833533],"genre_scores_gemma":[0.9843073,0.01184119,0.0000541088,0.001906047,0.0002379673,0.00001025732,0.00001386359,0.00002797081,0.001601321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9192804,"threshold_uncertainty_score":0.5337384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083210289106447,"score_gpt":0.1902697023501106,"score_spread":0.1694375994590461,"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."}}