{"id":"W3214520628","doi":"","title":"The Ancient and the Modern: A Difficult Conciliation in Québec","year":2001,"lang":"en","type":"article","venue":"Raisons politiques","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantage; Conciliation; Government (linguistics); Neuroscience of multilingualism; Political science; Sociology; Social exclusion; Key (lock); Political economy; Linguistics; Law; Computer science; Computer security; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189295,0.00003463807,0.00005871487,0.00005615656,0.001049102,0.0002533323,0.0001065239,0.00003303617,0.00002387816],"category_scores_gemma":[0.0003995415,0.00002508307,0.00002395035,0.0001277285,0.001046204,0.00008646474,0.00001316865,0.0000707366,0.000007519952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005680242,"about_ca_system_score_gemma":0.0006862161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657269,"about_ca_topic_score_gemma":0.9990018,"domain_scores_codex":[0.9993399,0.0001716557,0.00008745732,0.00007755435,0.0001281501,0.0001952637],"domain_scores_gemma":[0.9995673,0.0002084274,0.00002997422,0.00008386231,0.00004913755,0.00006131757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002347455,0.00001469191,0.003009342,0.000002186371,0.000005010346,0.000003536119,0.1038202,0.000002888507,0.000006386616,0.8623805,0.02303309,0.007698721],"study_design_scores_gemma":[0.0002139196,0.000004254459,0.02699764,0.000005358589,0.000003110232,0.00000111754,0.004378706,0.0001205579,6.899222e-7,0.00699905,0.9612328,0.00004277654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7158094,0.007146676,0.00004281432,0.1295263,0.0001968228,0.0003744473,0.00001137909,0.00006212559,0.14683],"genre_scores_gemma":[0.9858872,0.002019707,0.00000441281,0.0009037969,0.0001099964,0.00002389613,5.500657e-7,0.000002691886,0.01104772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9381997,"threshold_uncertainty_score":0.8068948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678901623441414,"score_gpt":0.2731357570749604,"score_spread":0.2563467408405463,"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."}}