{"id":"W2970849907","doi":"10.5539/ijel.v9n5p257","title":"Relating Perceptual Learning Styles of Engineering Students with Scanning Information in Text Scores","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning styles; Psychology; Affect (linguistics); Perception; Reading (process); Mathematics education; Style (visual arts); Test (biology); Likert scale; Developmental psychology; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003782178,0.00009872832,0.0001889042,0.0003394292,0.00001655408,0.00006452747,0.0002893702,0.00005634382,0.0001573173],"category_scores_gemma":[0.01421048,0.00008498853,0.00004965517,0.00009804525,0.00002778327,0.0001353756,0.00004764981,0.0004864897,0.00001083046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005233772,"about_ca_system_score_gemma":0.00004260951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000389368,"about_ca_topic_score_gemma":0.000003275377,"domain_scores_codex":[0.9986907,0.00004988821,0.0005180455,0.00007528944,0.0005389564,0.0001271847],"domain_scores_gemma":[0.993404,0.000317774,0.0005564209,0.00004925438,0.00563945,0.0000330761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002031926,0.00006935357,0.9494333,0.00001771125,0.000182607,0.00001836837,0.01562333,0.02932195,0.00002217534,0.003456734,0.00004983203,0.001601477],"study_design_scores_gemma":[0.00299114,0.0007956403,0.9397568,0.001355639,0.00004375868,0.000009131786,0.0388906,0.001337634,0.00009904595,0.00004442434,0.01443037,0.00024589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738562,0.00005300491,0.0002382955,0.000003176806,0.003293455,0.00005064804,0.000003555489,0.00001018334,0.02249146],"genre_scores_gemma":[0.9981858,0.000009042318,0.0004027208,0.00001941448,0.001248631,0.000001070455,0.000007471649,0.0000106537,0.0001152522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02798431,"threshold_uncertainty_score":0.9940932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009003902742603806,"score_gpt":0.2884300421155482,"score_spread":0.2794261393729444,"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."}}