{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005415941,0.0001613852,0.0003655688,0.0001375605,0.0001493233,0.00006157,0.00007496659,0.000038964,0.00001353872],"category_scores_gemma":[0.0002716855,0.0001204895,0.00004594316,0.00007528209,0.000140071,0.0001566886,0.00004193914,0.0002548901,7.097344e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632785,"about_ca_system_score_gemma":0.00002001371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046503,"about_ca_topic_score_gemma":0.001378693,"domain_scores_codex":[0.9990997,0.0001464079,0.0002168202,0.000214468,0.0001231617,0.0001994437],"domain_scores_gemma":[0.9994254,0.0002306855,0.00008406445,0.0001050386,0.0001114476,0.00004336484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001012946,0.000128881,0.000125316,0.0001145474,0.0001839835,0.0001021582,0.9880457,0.000007848966,0.00002191328,0.007800187,0.0006790492,0.00268911],"study_design_scores_gemma":[0.001756071,0.0007689776,0.00008764395,0.0002431928,0.00005981014,0.00000469117,0.9939044,0.00001556865,0.00001712763,0.0002463017,0.002749813,0.0001464076],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632818,0.0157021,0.000002088968,0.00003682196,0.0002307552,0.0003826173,0.0001450227,0.00003543645,0.02018334],"genre_scores_gemma":[0.9951025,0.00001860524,0.00008710993,0.0001061151,0.0003576583,0.00005060761,0.0000248406,0.00001626168,0.004236279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318207,"threshold_uncertainty_score":0.4913421,"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."}}