{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.008765146,0.000608318,0.0006356264,0.0004345542,0.002260659,0.001447053,0.001036396,0.002240177,0.004279019],"category_scores_gemma":[0.003925567,0.0008185515,0.0005147848,0.0007018144,0.004842243,0.0005785608,0.0001697469,0.003205595,0.000128219],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009094478,"about_ca_system_score_gemma":0.01480822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9131044,"about_ca_topic_score_gemma":0.9917172,"domain_scores_codex":[0.9886795,0.007591084,0.0006116848,0.000837205,0.0007462076,0.001534355],"domain_scores_gemma":[0.9949999,0.003060746,0.0003607998,0.0005747232,0.0002536273,0.0007502138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005513734,0.0003340773,0.004355318,0.0002242696,0.0001545819,0.0003110691,0.7052953,0.0000264984,0.00737158,0.1821269,0.08754025,0.01220508],"study_design_scores_gemma":[0.000614835,0.00009088132,0.01764123,0.00008652313,0.0002904024,0.0001009109,0.0875804,0.00006838156,0.0002374587,0.01943299,0.8730462,0.0008097664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491506,0.003792494,0.0007901213,0.04435923,0.001412788,0.0004774742,0.0002714693,0.0002244232,0.09952142],"genre_scores_gemma":[0.8799214,0.006342297,0.01041977,0.005810674,0.001939247,0.0001140731,0.00009136373,0.0001709607,0.0951902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.785506,"threshold_uncertainty_score":0.9995896,"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."}}