{"id":"W2912006451","doi":"10.3968/7846","title":"A Study of Optimizing Non-English Majors’ English Writing Teaching Approach Through Micro-Writing","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Computer science; Grammar; Professional writing; Task (project management); Reading (process); Mathematics education; Psychology; Linguistics; Engineering","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":[0.001778178,0.0002963434,0.0003220853,0.0004347562,0.001195301,0.001481643,0.0007553196,0.0003373843,0.002534352],"category_scores_gemma":[0.004993686,0.0002091886,0.0004083077,0.0003510783,0.0005119597,0.0009469155,0.0007912306,0.0008915009,0.0005410856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008988745,"about_ca_system_score_gemma":0.001692253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031415,"about_ca_topic_score_gemma":0.00377513,"domain_scores_codex":[0.9988964,0.0003881944,0.00007900773,0.0001791222,0.000270858,0.0001864554],"domain_scores_gemma":[0.9954749,0.001330891,0.0006728698,0.0002179378,0.0009582763,0.001345147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00126194,0.02426483,0.2300238,0.001666019,0.0001150866,0.00256001,0.3442903,0.0003986166,0.03199624,0.002821452,0.003731819,0.3568698],"study_design_scores_gemma":[0.0004238438,0.01774389,0.5486593,0.0003984476,0.0002487988,0.001261647,0.3706034,0.00207364,0.01240814,0.001215518,0.04484137,0.0001219538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983675,0.00004692615,0.0001768348,0.00004305664,0.000007804917,0.00005078255,0.000007056065,0.00000311752,0.001296889],"genre_scores_gemma":[0.9932992,0.0001429804,0.001288344,0.00008100177,0.000007174685,0.00009990371,0.00002647973,0.00000613804,0.005048665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002534352,"threshold_uncertainty_score":0.009404063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360020786481544,"score_gpt":0.3601219430701347,"score_spread":0.3241198644219803,"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."}}