{"id":"W3038094035","doi":"10.5539/ijel.v10n5p53","title":"On English Inanimate Subject Sentences from the Perspective of Chinese Language","year":2020,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Sentence; Linguistics; Phenomenon; Perspective (graphical); Psychology; Computer science; Artificial intelligence; Philosophy; Epistemology","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":[0.0003937148,0.0003290811,0.0001666847,0.0009503089,0.001117278,0.0009677007,0.0002966388,0.0002951816,0.002081812],"category_scores_gemma":[0.0007778017,0.00008671777,0.0002690181,0.0008191055,0.001924247,0.002439123,0.0006091236,0.0005029807,0.0001973842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008806133,"about_ca_system_score_gemma":0.0008444392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007302318,"about_ca_topic_score_gemma":0.00985068,"domain_scores_codex":[0.9998533,0.00005679772,0.000008493151,0.0000226942,0.00003492618,0.00002390098],"domain_scores_gemma":[0.9997391,0.0001364999,0.000030484,0.0000146395,0.00005963466,0.00001962803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002552725,0.0002290326,0.03236746,0.001325111,0.00007731488,0.00973952,0.2268501,0.001404759,0.07040048,0.4881866,0.00948264,0.1596817],"study_design_scores_gemma":[0.00004037555,0.001042841,0.4270552,0.001460527,0.0003289238,0.005229692,0.146744,0.01655404,0.02446943,0.1327528,0.2441007,0.0002214556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609542,0.008571879,0.0128745,0.004046507,0.000289356,0.00008954469,0.0001919344,0.00003424364,0.1129479],"genre_scores_gemma":[0.9843293,0.006972321,0.002901525,0.0005635123,0.0002195796,0.00004579774,0.0001633529,0.00001847756,0.004786199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007302318,"threshold_uncertainty_score":0.01451963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379792534238622,"score_gpt":0.3247073816307338,"score_spread":0.3109094562883476,"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."}}