{"id":"W4240372677","doi":"10.3138/cmlr.61.1.77","title":"Comprehension Monitoring in First and Second Language Reading","year":2004,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Reading and Literacy Development","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Reading comprehension; Task (project management); Comprehension; Reading (process); Computer science; Significant difference; Psychology; Linguistics; Language proficiency; Natural language processing; Mathematics education; Cognitive psychology; Programming language; Mathematics; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001671943,0.0003185712,0.0003249125,0.001190884,0.0002830016,0.001084341,0.0002497744,0.0003801408,0.001649185],"category_scores_gemma":[0.01904259,0.0001681107,0.000219678,0.00046111,0.0004493099,0.0006848782,0.0006538751,0.0005843435,0.0002773648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587684,"about_ca_system_score_gemma":0.0004827522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152005,"about_ca_topic_score_gemma":0.004935287,"domain_scores_codex":[0.9987794,0.0003496306,0.00006844603,0.0002209004,0.0004363347,0.0001452981],"domain_scores_gemma":[0.9854317,0.007053373,0.004162314,0.0008870588,0.001823672,0.0006418661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001736393,0.0005746635,0.7927593,0.0002094107,0.0001357793,0.0004826739,0.02709095,0.0004179438,0.04882507,0.0006705905,0.0004770875,0.1266201],"study_design_scores_gemma":[0.000007253789,0.0005040439,0.9936476,0.00001157286,0.00001963116,0.0003611279,0.0006206614,0.0002097102,0.003955809,0.0001672563,0.0004785472,0.00001666003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976079,0.0002022103,0.0002678141,0.00001985582,0.00000354119,0.000007875889,0.00004374882,0.00001360251,0.001833374],"genre_scores_gemma":[0.9990658,0.00006133127,0.0001579367,0.00001344884,0.000003324583,0.00000865721,0.00006221706,0.000006243672,0.000620996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152005,"threshold_uncertainty_score":0.01024407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155026362199033,"score_gpt":0.2639326183888472,"score_spread":0.2484299821689439,"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."}}