{"id":"W4293788915","doi":"10.5539/ass.v18n9p27","title":"Investment in Learning English: A Case Study of Chinese LOTE Learners","year":2022,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Investment (military); Ideology; Context (archaeology); Sociology; Psychology; Political science; Geography; Law","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":[0.001757296,0.0006306677,0.0005629221,0.001410827,0.01112419,0.002760032,0.001736025,0.001777558,0.003620418],"category_scores_gemma":[0.002267702,0.0004111802,0.000591727,0.001369419,0.003314852,0.002079519,0.004154602,0.002185971,0.0005335629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004314594,"about_ca_system_score_gemma":0.003934013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03640556,"about_ca_topic_score_gemma":0.08165216,"domain_scores_codex":[0.9989436,0.0003503234,0.00004764345,0.0001149865,0.0001575797,0.0003859368],"domain_scores_gemma":[0.9986442,0.0003441439,0.0001481001,0.0000622626,0.0001544637,0.0006469167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008266376,0.0009925376,0.08024471,0.0001276133,0.00001653357,0.02880952,0.8731667,0.0001077124,0.001628123,0.001926371,0.000961424,0.01193601],"study_design_scores_gemma":[0.000009827741,0.000244257,0.02301034,0.00006813677,0.0000164115,0.004253471,0.9656467,0.000245821,0.0005436481,0.0002463216,0.005687595,0.00002735753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983534,0.00007944921,0.00007124655,0.0002782358,0.000005251975,0.00003067475,0.0000137632,0.000001496446,0.001166544],"genre_scores_gemma":[0.9954443,0.0003697377,0.0003271911,0.0002762439,0.000008581947,0.00005482061,0.0000314153,0.000006523175,0.003481234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03640556,"threshold_uncertainty_score":0.07238734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037353100302939,"score_gpt":0.2722436646549964,"score_spread":0.251870133651967,"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."}}