{"id":"W2211982861","doi":"","title":"The Roots of American Industrialization","year":2004,"lang":"en","type":"article","venue":"Journal of the Early Republic","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrialisation; Population; Bandwagon effect; Urbanization; Economic history; Capitalism; Geographer; Geography; Quarter (Canadian coin); Competition (biology); Development economics; Political science; Economy; History; Economics; Economic growth; Sociology; Economic geography; Demography; Politics; Archaeology; 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":[0.0005023439,0.0005382829,0.0002515765,0.001588193,0.003351914,0.005827461,0.0003864022,0.000922355,0.006539751],"category_scores_gemma":[0.0009416743,0.0002108221,0.0001268452,0.003179858,0.007180902,0.004118536,0.002401604,0.003234427,0.001025596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004558164,"about_ca_system_score_gemma":0.002780876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245395,"about_ca_topic_score_gemma":0.02934827,"domain_scores_codex":[0.9995913,0.0000941855,0.000009128026,0.00007175458,0.00009503099,0.0001385496],"domain_scores_gemma":[0.9997811,0.00005223738,0.00003467033,0.00001673187,0.00005163426,0.00006362307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003250797,0.0000389396,0.002070431,0.0001059082,0.00001326877,0.0001018956,0.02129729,0.00007484491,0.0001445842,0.6157139,0.2333741,0.1270324],"study_design_scores_gemma":[0.000003724207,0.00000544928,0.004514311,0.0002236067,0.000003393844,0.00005693963,0.004432336,0.00002905907,0.00003710252,0.06428517,0.9264013,0.000007686505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02053881,0.3282434,0.0004038334,0.1666305,0.003876126,0.00001048712,0.000151196,0.00004822992,0.4800974],"genre_scores_gemma":[0.6365312,0.1932796,0.0007051155,0.02055442,0.006668391,0.00003965041,0.0001617373,0.00008238872,0.1419774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02245395,"threshold_uncertainty_score":0.04464656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530884295451688,"score_gpt":0.2212996603731561,"score_spread":0.1859908174186392,"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."}}