{"id":"W4200251299","doi":"10.5539/elt.v15n1p106","title":"Item Objective Congruence Analysis for Multidimensional Items Content Validation of a Reading Test in Sri Lankan University","year":2021,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Congruence (geometry); Cognition; Content validity; Test (biology); Reading (process); Item analysis; Content analysis; Natural language processing; Psychometrics; Mathematics education; Social psychology; Developmental psychology; Computer science; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02371847,0.0005456658,0.0005915482,0.00632581,0.001239266,0.002043605,0.0008076806,0.000595778,0.002085193],"category_scores_gemma":[0.08710797,0.0003472594,0.001616215,0.004879671,0.001056426,0.001139926,0.001683249,0.0009132779,0.0005236322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127774,"about_ca_system_score_gemma":0.001537181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655716,"about_ca_topic_score_gemma":0.003322098,"domain_scores_codex":[0.9671719,0.01483668,0.003722182,0.001776117,0.01181676,0.0006763238],"domain_scores_gemma":[0.9019312,0.0575542,0.008936985,0.007649044,0.023027,0.0009015446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006109268,0.0003288533,0.8833308,0.0001804694,0.0002854195,0.0002161845,0.008031948,0.001334014,0.01018854,0.003132996,0.0007691948,0.09159068],"study_design_scores_gemma":[0.00007703454,0.000993714,0.9630412,0.0001336859,0.000129316,0.0002295604,0.005971064,0.01287472,0.01067503,0.001897937,0.003911521,0.00006528752],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540854,0.0001110021,0.03198949,0.00007550438,0.00006425677,0.0007692791,0.000400237,0.00006226198,0.01244257],"genre_scores_gemma":[0.971673,0.00004434968,0.02594034,0.00002956507,0.00002847218,0.000978205,0.0006320197,0.00005453918,0.0006196059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371847,"threshold_uncertainty_score":0.1254368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463686216792278,"score_gpt":0.3116748493678976,"score_spread":0.2870379871999749,"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."}}