{"id":"W2270608662","doi":"","title":"Convergence et divergence provinciales au Canada, de 1926 à 2011","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Convergence (economics); Economics; Art; Economic growth","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":[0.0007729281,0.0003368425,0.0005244851,0.003418393,0.002403986,0.002136603,0.0005596072,0.0002693818,0.00491982],"category_scores_gemma":[0.004075619,0.0002111239,0.0006353111,0.008190311,0.00103048,0.00069171,0.00115165,0.0007783634,0.0003244285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02796497,"about_ca_system_score_gemma":0.03120348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924849,"about_ca_topic_score_gemma":0.9952117,"domain_scores_codex":[0.9992278,0.00005336802,0.000034732,0.000160327,0.000261012,0.0002628151],"domain_scores_gemma":[0.9973453,0.0003709915,0.0003163761,0.0001010734,0.001573113,0.0002932313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004139432,0.0000383185,0.8687827,0.0002908266,0.000353875,0.0004518368,0.009456843,0.006066581,0.0009564745,0.02274407,0.007191591,0.08325295],"study_design_scores_gemma":[0.000006482516,0.00001504111,0.9727936,0.00007155738,0.0000415598,0.0000715292,0.002513248,0.001438409,0.0002586223,0.0006314441,0.02213455,0.00002407231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374636,0.004076155,0.003245666,0.001349115,0.00005541456,0.00004015744,0.02344795,0.00011328,0.0302087],"genre_scores_gemma":[0.9789131,0.001331158,0.001692627,0.00006612674,0.00001648837,0.00002220603,0.00640747,0.00003418761,0.01151667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02796497,"threshold_uncertainty_score":0.202901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05521462842586451,"score_gpt":0.2785078371906088,"score_spread":0.2232932087647443,"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."}}