{"id":"W7104448997","doi":"10.71781/18035","title":"The linguistic and cognitive mechanisms underlying language tests in healthy adults : a principal component analysis","year":2022,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive semantics; Linguistic analysis","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":[0.003702414,0.0005027436,0.0004460321,0.001022254,0.000332054,0.001253691,0.0004813968,0.0003904252,0.002051021],"category_scores_gemma":[0.01078087,0.0002712265,0.0005981737,0.0009047747,0.0006183293,0.0006285123,0.0005571122,0.0006021165,0.0002825691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555469,"about_ca_system_score_gemma":0.0009455736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004903534,"about_ca_topic_score_gemma":0.005719837,"domain_scores_codex":[0.998542,0.0005341677,0.0001487219,0.0002680531,0.0003926244,0.0001146293],"domain_scores_gemma":[0.9964998,0.001785685,0.0004612955,0.0004428522,0.0006729565,0.0001374425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001302802,0.0005012183,0.7896956,0.0003782191,0.0005588685,0.0002509407,0.007052515,0.001664729,0.01400053,0.001313042,0.001355718,0.1819258],"study_design_scores_gemma":[0.00002779564,0.0002877483,0.9940296,0.00002104423,0.00006249065,0.00009673962,0.0004944019,0.002481772,0.001033278,0.0007597997,0.0006903111,0.0000149457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890744,0.0002545436,0.008215497,0.0001160131,0.00002123701,0.000475384,0.0003847402,0.00006158785,0.001396636],"genre_scores_gemma":[0.9910363,0.0001213665,0.007287959,0.00003664586,0.00001238644,0.0005378274,0.0003835695,0.00002355437,0.0005603119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004903534,"threshold_uncertainty_score":0.01958048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210769835561089,"score_gpt":0.2438375078699168,"score_spread":0.2317298095143059,"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."}}