{"id":"W2949500923","doi":"10.1017/s0714980819000333","title":"Questionnaire Sémantique de Québec (QueSQ). Développement, validation et normalisation","year":2019,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Normative; Psychology; Superordinate goals; Normalization (sociology); Cognitive psychology; Natural language processing; Computer science; Social psychology; Epistemology; Philosophy","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":[0.004194764,0.0005858758,0.0003294808,0.002293746,0.00149412,0.001020094,0.0007209301,0.0005126206,0.007562586],"category_scores_gemma":[0.01204441,0.0001856276,0.0004975914,0.001622184,0.0009043438,0.0006878256,0.0007373752,0.0008133387,0.001003885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009280466,"about_ca_system_score_gemma":0.01251247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7730888,"about_ca_topic_score_gemma":0.7325305,"domain_scores_codex":[0.9980089,0.0006307717,0.0001868394,0.000185212,0.0008444491,0.0001438847],"domain_scores_gemma":[0.9907576,0.001408438,0.0005479284,0.0004086541,0.006446201,0.000431157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009216487,0.0004270361,0.4239709,0.0008384011,0.0003097219,0.0008977788,0.006935325,0.002030502,0.008993591,0.01392259,0.08247881,0.4582738],"study_design_scores_gemma":[0.00008873877,0.0002173802,0.8553367,0.0002157188,0.00003861972,0.0008837094,0.001838233,0.001643269,0.001795718,0.001001986,0.1368603,0.00007980265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8032159,0.006734193,0.03611513,0.003852404,0.0007710573,0.004586312,0.08105569,0.000715968,0.06295332],"genre_scores_gemma":[0.8950886,0.001899971,0.02909903,0.0008457341,0.00008315077,0.005263105,0.02821071,0.0001816428,0.03932814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7730888,"threshold_uncertainty_score":0.456495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537832668269086,"score_gpt":0.2508743896855751,"score_spread":0.2354960630028842,"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."}}