{"id":"W2038298297","doi":"10.1016/j.esp.2005.11.001","title":"Evaluating Web sources in an EAP course: Introducing a multi-trait instrument for feedback and assessment","year":2005,"lang":"en","type":"article","venue":"English for Specific Purposes","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CLARITY; Checklist; Objectivity (philosophy); Psychology; Cronbach's alpha; Reputation; Argumentative; Scale (ratio); Reliability (semiconductor); Test (biology); Quality (philosophy); Trait; Computer science; Medical education; Applied psychology; Psychometrics; Political science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001917394,0.0001247958,0.0001666539,0.00009571614,0.0005310473,0.0003919618,0.0001779583,0.00009174422,0.00009457991],"category_scores_gemma":[0.0005233622,0.0001331876,0.00003733464,0.0002419872,0.0001159287,0.0006282601,0.00001914001,0.0001170756,0.000001170512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938284,"about_ca_system_score_gemma":0.0004994147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004816622,"about_ca_topic_score_gemma":0.004238593,"domain_scores_codex":[0.9985359,0.0001525291,0.0003170778,0.0003776997,0.0002969457,0.0003198376],"domain_scores_gemma":[0.9989609,0.0002408335,0.0001387184,0.000157699,0.0003926891,0.0001091544],"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":[0.0001215896,0.001212159,0.01530953,0.00005893702,0.00003466517,3.005036e-7,0.1683388,0.00141771,0.002052051,0.0653865,0.008340961,0.7377268],"study_design_scores_gemma":[0.0022258,0.0002564744,0.01213548,0.00005085152,0.00002144471,2.567342e-7,0.1448351,0.007637806,0.000399337,0.0005200265,0.8316112,0.0003061917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898248,0.000540247,0.0006325166,0.003141536,0.001497216,0.001719621,0.00005491363,0.00008698961,0.002502135],"genre_scores_gemma":[0.8980188,0.0001242929,0.09733725,0.00009923801,0.003197653,0.0004838357,0.00004213046,0.00001824887,0.0006786083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8232703,"threshold_uncertainty_score":0.5431234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007796516169141,"score_gpt":0.4271808432924373,"score_spread":0.3471028781307459,"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."}}