{"id":"W2032124886","doi":"10.1016/j.compedu.2013.02.005","title":"Foster strengths and circumvent weaknesses: Advantages and disadvantages of online versus face-to-face subgroup discourse","year":2013,"lang":"en","type":"article","venue":"Computers & Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Face-to-face; Strengths and weaknesses; Face (sociological concept); Computer science; Key (lock); Class (philosophy); Graduate students; Psychology; Sociology; Pedagogy; Artificial intelligence; Social psychology; Epistemology","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":[0.01830383,0.0005575662,0.0005681192,0.001753491,0.002841742,0.006341724,0.002025431,0.002034066,0.007937979],"category_scores_gemma":[0.0652369,0.0003790231,0.000353731,0.001149243,0.004750344,0.01238475,0.00789278,0.001560762,0.001521169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252445,"about_ca_system_score_gemma":0.003309067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006771894,"about_ca_topic_score_gemma":0.001098802,"domain_scores_codex":[0.9848245,0.0093659,0.0008373497,0.001115954,0.003123879,0.0007324846],"domain_scores_gemma":[0.9469322,0.03693308,0.002866861,0.008024752,0.003806604,0.001436414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000508255,0.000992837,0.02391341,0.0007133873,0.00006962688,0.000461925,0.167501,0.0006548357,0.03105031,0.1656395,0.003043028,0.6054518],"study_design_scores_gemma":[0.0003257635,0.002253595,0.03343597,0.00163063,0.0006110932,0.002599867,0.3326662,0.01449347,0.07620927,0.3194206,0.216132,0.0002215394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771035,0.0007224652,0.06906687,0.007518481,0.0002096629,0.0003627714,0.00004953363,0.0008980209,0.1440687],"genre_scores_gemma":[0.9640406,0.0001808895,0.02818464,0.0003898091,0.00006294062,0.0001426072,0.0000251424,0.0001901814,0.006783108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830383,"threshold_uncertainty_score":0.09680104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260628105909902,"score_gpt":0.3591701406483344,"score_spread":0.3465638595892354,"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."}}