{"id":"W1968334918","doi":"10.5539/ies.v4n4p137","title":"Computer Competency: A 7-Year Study to Identify Gaps in Student Computer Skills","year":2011,"lang":"en","type":"article","venue":"International Education Studies","topic":"Health Education and Validation","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer literacy; Medical education; Psychology; Strengths and weaknesses; Computer-Assisted Instruction; Knowledge level; Mathematics education; Medicine","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":[0.005233258,0.0003926941,0.0006039116,0.001322863,0.001771639,0.0008814919,0.0005804478,0.0007186641,0.0009273735],"category_scores_gemma":[0.004812118,0.0003484456,0.0006358775,0.0005604188,0.0006361324,0.001259591,0.001619502,0.001528595,0.0005763587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189289,"about_ca_system_score_gemma":0.00258818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007845119,"about_ca_topic_score_gemma":0.0137117,"domain_scores_codex":[0.9986149,0.0002661749,0.0001004682,0.0001246768,0.0004196165,0.0004741701],"domain_scores_gemma":[0.9947003,0.0007412785,0.0008167909,0.0002643944,0.001687138,0.001790125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004996553,0.01672709,0.9330293,0.0000607997,0.00005942594,0.0006269135,0.01491017,0.0001503441,0.001560801,0.0001220344,0.0007904463,0.03146309],"study_design_scores_gemma":[0.00005742084,0.01064524,0.9719065,0.00002957179,0.0000422376,0.000301301,0.01249219,0.0003732198,0.001485513,0.00008402178,0.00255104,0.00003167045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995473,0.00002264378,0.00005742643,0.00003035594,0.000005342264,0.00005000837,0.00002948702,0.000002466908,0.0002549351],"genre_scores_gemma":[0.9982477,0.00007983101,0.0002421628,0.00007090349,0.00001056757,0.0001685956,0.0002407646,0.000002461411,0.0009369689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007845119,"threshold_uncertainty_score":0.02767646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456888689450657,"score_gpt":0.5320867139108134,"score_spread":0.3863978449657477,"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."}}