{"id":"W2970332427","doi":"10.5539/ijel.v9n5p170","title":"Aspects Marking in English and Thali: A Contrastive Study","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Participle; Grammar; Linguistics; Computer science; Point (geometry); English grammar; Artificial intelligence; Mathematics; Verb; Philosophy; Geometry","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":[0.001418521,0.0002971044,0.0003297928,0.001246268,0.002087413,0.002956948,0.0004837121,0.0004903035,0.002189525],"category_scores_gemma":[0.005261831,0.0002259401,0.0001372232,0.0009082131,0.003662623,0.002727968,0.002115211,0.001745963,0.0002115803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132994,"about_ca_system_score_gemma":0.0002957935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321803,"about_ca_topic_score_gemma":0.00355957,"domain_scores_codex":[0.9991572,0.0004185962,0.00004800632,0.0001454851,0.0001294077,0.0001013467],"domain_scores_gemma":[0.996231,0.002899631,0.0003254677,0.0001610521,0.0002408965,0.0001418603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003412259,0.0002917612,0.03248383,0.000276362,0.00002058474,0.002459248,0.8887106,0.00008940472,0.02772141,0.02617556,0.0004749474,0.02095515],"study_design_scores_gemma":[0.00005814965,0.0007823366,0.1510985,0.0001837,0.00006686259,0.005344258,0.7718287,0.001026553,0.01404848,0.00586793,0.04960651,0.00008804342],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799629,0.0001691858,0.0005340115,0.000108801,0.00001276472,0.00002331657,0.00002847598,0.000005598373,0.01915491],"genre_scores_gemma":[0.9984576,0.00007661647,0.0003168489,0.00004238723,0.000007893489,0.00001466244,0.00001716712,0.000008339777,0.001058608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002956948,"threshold_uncertainty_score":0.008220494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059822004326468,"score_gpt":0.4090312687233769,"score_spread":0.3784330486801122,"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."}}