{"id":"W2048017630","doi":"10.3138/cmlr.58.4.653","title":"A Practical and Complementary Approach to the Evaluation of ESL Composition Textbooks","year":2002,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composition (language); Strengths and weaknesses; Checklist; Computer science; Component (thermodynamics); Mathematics education; Sample (material); Psychology; Linguistics; Cognitive psychology","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":[0.01968323,0.00129608,0.00114576,0.01373334,0.002937613,0.003292951,0.001847758,0.001214281,0.01588462],"category_scores_gemma":[0.09097957,0.000526406,0.0006565186,0.006628815,0.002229118,0.0024965,0.004568225,0.001360743,0.003708995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002815377,"about_ca_system_score_gemma":0.004684874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248567,"about_ca_topic_score_gemma":0.01095792,"domain_scores_codex":[0.9583453,0.02203205,0.003178298,0.002542467,0.01315683,0.0007450876],"domain_scores_gemma":[0.9087753,0.03790213,0.004596094,0.007134548,0.03980278,0.001789309],"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":[0.0005211648,0.001410497,0.01699113,0.002312101,0.00005613513,0.0005543748,0.03802355,0.0007549857,0.01742669,0.01306499,0.01419851,0.8946859],"study_design_scores_gemma":[0.0009207655,0.006905986,0.1567114,0.003258357,0.0002383045,0.004693656,0.1350968,0.01406122,0.08904903,0.03461028,0.5537459,0.0007083176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3742957,0.001643433,0.3496425,0.002740619,0.001782003,0.02695013,0.002927177,0.002189676,0.2378286],"genre_scores_gemma":[0.306181,0.00116133,0.6123849,0.0008706346,0.0003185717,0.02054952,0.001315703,0.0005241156,0.0566943],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01968323,"threshold_uncertainty_score":0.1040961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017904636341393,"score_gpt":0.2940034084603041,"score_spread":0.1922129448261648,"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."}}