{"id":"W2793651752","doi":"10.5539/elt.v11n2p188","title":"Exploring Construction of College English Writing Course from the Perspective of Output-Driven Hypothesis","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Writing and Handwriting Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Reading (process); Psychology; Perspective (graphical); Professional writing; Task (project management); Mathematics education; Language proficiency; Writing process; College English; Process (computing); Linguistics; Pedagogy; Computer science; 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":[0.001093904,0.0002019374,0.0001123057,0.0007206797,0.001250978,0.002492384,0.0004630516,0.0003052476,0.005210216],"category_scores_gemma":[0.003808497,0.0001495844,0.000212306,0.0003556213,0.001102504,0.001393273,0.001126479,0.0006376581,0.0003705505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508421,"about_ca_system_score_gemma":0.002530836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001910901,"about_ca_topic_score_gemma":0.003284661,"domain_scores_codex":[0.9991683,0.0003294252,0.00003913977,0.0001457317,0.0001922596,0.0001251364],"domain_scores_gemma":[0.9982097,0.0007213084,0.0002175289,0.0001120014,0.0003371995,0.0004021983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002368843,0.002332172,0.4465977,0.0003365714,0.00002472373,0.003857148,0.16382,0.0012484,0.01947349,0.1224181,0.002435575,0.2372193],"study_design_scores_gemma":[0.0001109458,0.001414681,0.5962914,0.0003455929,0.00007954846,0.001411189,0.2582993,0.02117934,0.01720445,0.03909162,0.06449626,0.00007573019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587539,0.00003326427,0.006370991,0.0003034045,0.00001431437,0.0001453593,0.0000291076,0.00003232526,0.0343173],"genre_scores_gemma":[0.9877259,0.00004193973,0.005660117,0.00003900751,0.000005186365,0.0000769323,0.0000496519,0.00001046973,0.006390798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005210216,"threshold_uncertainty_score":0.01742995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300541865598048,"score_gpt":0.3105475464657925,"score_spread":0.257542127809812,"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."}}