{"id":"W1549095265","doi":"10.18806/tesl.v30i1.1128","title":"Show me! Enhanced Feedback Through Screencasting Technology","year":2013,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"The Internet; Multimedia; Computer science; Humanities; Sociology; World Wide Web; Pedagogy; Art","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001618209,0.001187661,0.0004476934,0.001236098,0.0005605136,0.002545259,0.001138003,0.001309084,0.04950665],"category_scores_gemma":[0.0115746,0.0002877371,0.0004853006,0.0005480384,0.0004281246,0.003169608,0.002511938,0.0009868268,0.01123635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002970837,"about_ca_system_score_gemma":0.0003478346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006644432,"about_ca_topic_score_gemma":0.0009973623,"domain_scores_codex":[0.999078,0.0003443141,0.00005073898,0.0001157301,0.0003295447,0.00008160622],"domain_scores_gemma":[0.9932513,0.004251109,0.0003026586,0.0007378763,0.001022398,0.0004346519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002712042,0.0005969511,0.003102577,0.002278597,0.00008208986,0.001790154,0.008045851,0.002262392,0.06890298,0.008800727,0.1407944,0.7606313],"study_design_scores_gemma":[0.0009415838,0.002967683,0.01498332,0.001649391,0.0002693499,0.00246229,0.005254621,0.03304267,0.07706238,0.02239958,0.8385714,0.0003957568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2056954,0.003545659,0.5006592,0.007234655,0.004780675,0.001822993,0.006694265,0.0889584,0.1806087],"genre_scores_gemma":[0.5761937,0.003324636,0.2511857,0.002126276,0.00130913,0.001580615,0.004301955,0.005557765,0.1544203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04950665,"threshold_uncertainty_score":0.1656162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278840568501229,"score_gpt":0.2128458692993822,"score_spread":0.1900574636143699,"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."}}