{"id":"W2010542688","doi":"10.7202/030851ar","title":"The Impact of British Military Spending on the Colonial American Money Markets, 1760‑1783","year":2006,"lang":"fr","type":"article","venue":"Historical Papers","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007645815,0.0002940079,0.0008846647,0.00006698512,0.001006742,0.00004087023,0.0004966234,0.0001735705,0.0005276277],"category_scores_gemma":[0.0004288782,0.0002775892,0.0008513788,0.0004365729,0.001110469,0.0000829934,0.00009478181,0.0004772088,0.0002431548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009373762,"about_ca_system_score_gemma":0.00005873277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2475216,"about_ca_topic_score_gemma":0.006744567,"domain_scores_codex":[0.9974687,0.0001373921,0.001045008,0.0005228992,0.0001071922,0.0007188535],"domain_scores_gemma":[0.9977987,0.001104179,0.0005854714,0.0003416078,0.00003405794,0.000135975],"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":[0.0002333769,0.0005327924,0.03659842,0.00002673973,0.000423722,0.00002928228,0.0008899429,0.0003779477,0.00001541021,0.09101348,0.8398951,0.02996375],"study_design_scores_gemma":[0.0002633266,0.0002950701,0.2428491,0.0000195061,0.0000225263,0.000002846303,0.0001766519,0.0002166629,4.462067e-7,0.002609999,0.7532478,0.0002960482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5137534,0.1696618,0.00004406948,0.01735195,0.006716136,0.0006006621,0.0009040106,0.00005103492,0.290917],"genre_scores_gemma":[0.9010618,0.009742938,0.0000449607,0.0001795995,0.0009594249,0.00003231605,0.000006887989,0.00004446359,0.08792759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3873085,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491721358998603,"score_gpt":0.2071148114781554,"score_spread":0.1921975978881694,"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."}}