{"id":"W2068776803","doi":"10.5539/ass.v6n3p122","title":"On the Influential Elements of English Study","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Mathematics education; Psychology; Linguistics; 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":[0.004246133,0.0002967725,0.0002791998,0.004750887,0.005091548,0.005549122,0.0004314507,0.0006193311,0.003229418],"category_scores_gemma":[0.013097,0.0001745195,0.0001805845,0.00458796,0.005264175,0.002539378,0.00315595,0.0012046,0.0003871975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716991,"about_ca_system_score_gemma":0.001876541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630627,"about_ca_topic_score_gemma":0.01033474,"domain_scores_codex":[0.9957488,0.002374123,0.0002092569,0.0002670015,0.0009636306,0.0004371703],"domain_scores_gemma":[0.9684879,0.02333637,0.002456634,0.0006741342,0.002093974,0.002951012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002621251,0.0002539062,0.2259467,0.0008519469,0.00009662454,0.002088901,0.3008873,0.0005638933,0.003596783,0.265225,0.006203384,0.1940235],"study_design_scores_gemma":[0.00002588614,0.000195407,0.3719885,0.001680727,0.0002209208,0.001553318,0.2239901,0.001323482,0.003529541,0.06301725,0.3323462,0.0001286841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6650799,0.01078198,0.005049764,0.00734573,0.0003672667,0.00008577503,0.0001093036,0.00004959839,0.3111307],"genre_scores_gemma":[0.9937138,0.002211045,0.0005416633,0.000182895,0.0001627841,0.0000143019,0.00002812146,0.00001906873,0.003126288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005549122,"threshold_uncertainty_score":0.02245593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048896640916028,"score_gpt":0.2819907235603151,"score_spread":0.2615017571511548,"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."}}