{"id":"W1773263224","doi":"10.20381/ruor-1617","title":"Structures sociales et niveaux de richesse dans les campagnes du Quebec: 1792-1812","year":2010,"lang":"fr","type":"article","venue":"Persée (Ministère de lEnseignement supérieur et de la Recherche)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004487754,0.0001997324,0.0002785632,0.002241058,0.00377821,0.001684906,0.0006331637,0.0003457357,0.01617083],"category_scores_gemma":[0.001123962,0.0001641798,0.0001647816,0.005231683,0.002776141,0.0006594641,0.0008776196,0.0006329773,0.000549226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04938154,"about_ca_system_score_gemma":0.02130751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936759,"about_ca_topic_score_gemma":0.9982572,"domain_scores_codex":[0.9996468,0.00003777751,0.0000102614,0.00004747861,0.00008349277,0.000174116],"domain_scores_gemma":[0.9990528,0.0001033968,0.0001405174,0.00003168581,0.0004276456,0.0002439031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000360882,0.00008261234,0.5186599,0.0006124921,0.0002635351,0.000725219,0.2307343,0.001567452,0.001897903,0.0785383,0.040275,0.1262824],"study_design_scores_gemma":[0.000006338342,0.00001338381,0.9434404,0.0001371257,0.00001877756,0.00004911767,0.0222492,0.0002013175,0.0001071395,0.0004393643,0.03331746,0.00002043427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940713,0.003813104,0.0001994724,0.002664103,0.00002421671,0.00002902704,0.003988724,0.00002414103,0.0485442],"genre_scores_gemma":[0.9797717,0.0007740957,0.0001240086,0.00004585081,0.000006539934,0.00001301667,0.0004543755,0.000007164214,0.01880332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04938154,"threshold_uncertainty_score":0.3582898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06427916101777296,"score_gpt":0.3398187846836528,"score_spread":0.2755396236658798,"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."}}