{"id":"W4312217647","doi":"10.18502/avr.v32i1.11325","title":"Clinical Application of the Persian Version of Buffalo Model Questionnaire by examining Its correlation with the Buffalo Model Test Battery","year":2022,"lang":"en","type":"article","venue":"Shinavāyī/shināsī./Shinavāyī/shināsī","topic":"Reading and Literacy Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Correlation; Persian; Sentence; Test (biology); Audiology; Analysis of variance; Psychology; Medicine; Statistics; Mathematics; Natural language processing; Linguistics; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00189404,0.0003479162,0.0003130763,0.001174725,0.0001466518,0.0004051045,0.0003221793,0.0002778047,0.002071915],"category_scores_gemma":[0.00797826,0.0001140347,0.0002689104,0.0005334495,0.0002517344,0.0003994754,0.000485891,0.0003106668,0.0003535643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806803,"about_ca_system_score_gemma":0.0004002597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181406,"about_ca_topic_score_gemma":0.001345539,"domain_scores_codex":[0.999009,0.0003391165,0.0001392627,0.0001279981,0.0003197087,0.00006488399],"domain_scores_gemma":[0.99626,0.001264839,0.001140606,0.0001813851,0.0009452584,0.0002079166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004489402,0.00005785203,0.9877276,0.00002533672,0.00003734973,0.000134212,0.0002157652,0.0002052665,0.0005508699,0.00005318561,0.0003232638,0.01062443],"study_design_scores_gemma":[0.000007452947,0.0002160614,0.9971098,0.00002316819,0.0000166732,0.0008088851,0.0002228495,0.0007922443,0.000204092,0.00007739783,0.0005142651,0.000007197266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956185,0.0004527683,0.000943056,0.00009309487,0.00002259101,0.00008170478,0.0003788295,0.00001698891,0.002392439],"genre_scores_gemma":[0.9981445,0.0001895766,0.0009400529,0.00002380593,0.0000121209,0.00006710715,0.0003581233,0.000004482908,0.0002601801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002071915,"threshold_uncertainty_score":0.0100168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336655086276148,"score_gpt":0.2979009530576042,"score_spread":0.2745344021948428,"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."}}