{"id":"W1505494646","doi":"","title":"A Study of Metacognitive Strategy Training for College Language Low Achievers","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metacognition; Psychology; Mathematics education; Language learning strategies; Session (web analytics); Training (meteorology); Control (management); Computer science; Cognition; Artificial intelligence","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":[0.001407613,0.0002967253,0.0004568728,0.0006625187,0.0006258195,0.0006343183,0.0004168025,0.0002805176,0.0009721673],"category_scores_gemma":[0.003676999,0.000159267,0.0002389931,0.0003147526,0.0004382252,0.0003085245,0.0005554916,0.000548219,0.0002107008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762443,"about_ca_system_score_gemma":0.0008482949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003693762,"about_ca_topic_score_gemma":0.003695551,"domain_scores_codex":[0.9992925,0.0002097726,0.00005981803,0.0001201067,0.0001889266,0.0001288545],"domain_scores_gemma":[0.9981171,0.0007443683,0.0003080797,0.0001608944,0.000219669,0.0004500329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003410126,0.04922856,0.548036,0.0006514654,0.0002396414,0.001087305,0.07318654,0.0006429387,0.04299839,0.001186184,0.0007179226,0.2786149],"study_design_scores_gemma":[0.0002942032,0.02182068,0.9453609,0.00007331718,0.0001225762,0.0003909695,0.0183068,0.0008388641,0.009153685,0.0004023391,0.00319882,0.00003681461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996879,0.0000290154,0.00005332257,0.00000753004,0.000001375887,0.00001357798,0.000003632268,0.000001205262,0.0002023378],"genre_scores_gemma":[0.9989322,0.00005040542,0.0003645026,0.00001355342,0.000002176238,0.00003204721,0.00001837887,8.651064e-7,0.0005859761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003693762,"threshold_uncertainty_score":0.007444263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149028205066566,"score_gpt":0.3630098748109867,"score_spread":0.2481070543043301,"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."}}