{"id":"W2509615722","doi":"10.2139/ssrn.2828311","title":"Was Economic Growth Likely in Lower Canada?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Rest (music); Economic expansion; Per capita; Stock (firearms); Per capita income; Period (music); Monetary economics; Development economics; Macroeconomics; Geography; Demography; Sociology; Population","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":[0.001544709,0.0002803285,0.0004875763,0.002531432,0.007372013,0.007556085,0.001321898,0.002585582,0.01462731],"category_scores_gemma":[0.009969098,0.0003065972,0.0004600368,0.005148692,0.00364027,0.002286199,0.001645885,0.004990375,0.0006728647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08166969,"about_ca_system_score_gemma":0.09631889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946075,"about_ca_topic_score_gemma":0.9955152,"domain_scores_codex":[0.9974813,0.0001063376,0.00005634742,0.0001469496,0.0003812681,0.001827915],"domain_scores_gemma":[0.9878966,0.0007398215,0.001597955,0.0001953278,0.005207857,0.004362411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006056435,0.0001606396,0.814036,0.0001751766,0.0001201369,0.001638419,0.008787162,0.001278692,0.0006307382,0.07545543,0.06865432,0.02845762],"study_design_scores_gemma":[0.00004434657,0.0000436237,0.8598227,0.0003505733,0.00005540589,0.0002731906,0.03969829,0.001320504,0.0004826199,0.00692023,0.09086448,0.000123967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756002,0.00221776,0.000182181,0.1565863,0.0003905677,0.00003815531,0.007394196,0.00005092037,0.05753978],"genre_scores_gemma":[0.9885674,0.0009836572,0.00007852539,0.002755991,0.0001533999,0.000009012253,0.0008746605,0.00002081911,0.006556617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08166969,"threshold_uncertainty_score":0.5925578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008838899877661243,"score_gpt":0.1755621171954581,"score_spread":0.1667232173177969,"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."}}