{"id":"W1657307002","doi":"10.18806/tesl.v23i1.75","title":"Developing Cognitive Academic Language Proficiency: The Journey","year":2005,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biodesign Institute, Arizona State University; University of Cambridge; Bộ Giáo dục và Ðào tạo; University of Calgary","keywords":"Psychology; Language proficiency; Cognition; Competence (human resources); Second-language acquisition; Language acquisition; Higher education; Pedagogy; Mathematics education; Developmental psychology; Linguistics; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001019804,0.00006880434,0.00007080884,0.00004545708,0.001270624,0.00008957394,0.000309884,0.00004637821,0.006463896],"category_scores_gemma":[0.001205797,0.00004825702,0.00002677688,0.0002275188,0.00010767,0.0001269343,0.00001540034,0.0005786195,0.0000211886],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005979724,"about_ca_system_score_gemma":0.01205963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2398821,"about_ca_topic_score_gemma":0.5227354,"domain_scores_codex":[0.9987103,0.0001809283,0.000198978,0.00007426721,0.0004858517,0.0003496135],"domain_scores_gemma":[0.9992153,0.0002154316,0.000136294,0.00004923719,0.0001684777,0.0002152387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001794656,0.00003295417,0.001570445,0.000008192125,0.00005055499,0.00003477352,0.4385163,0.00003997649,0.0001194788,0.03472058,0.1833825,0.3415063],"study_design_scores_gemma":[0.0001774398,0.000005766083,0.004859701,0.0000443574,0.00001164449,0.00005705728,0.07896222,0.00004181375,0.0002613604,0.0002117135,0.9152294,0.0001375366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7348807,0.01800086,0.0002062993,0.1920844,0.001612491,0.0003145022,0.00001207739,0.00004653135,0.05284208],"genre_scores_gemma":[0.8969092,0.0001434813,0.0001540586,0.09676875,0.002570681,0.000002955891,7.823199e-7,0.000006750376,0.003443299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7318469,"threshold_uncertainty_score":0.9944443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010088047612575,"score_gpt":0.4799057377834643,"score_spread":0.3788969330222068,"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."}}