{"id":"W4411656622","doi":"10.51847/dw1iaviyxm","title":"10.51847/dW1iAVIyxm","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persian; Tone (literature); Audiology; Alphabet; Training (meteorology); Psychology; Speech recognition; Medicine; Computer science; Linguistics; Geography; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007358452,0.001007581,0.0005602353,0.002165769,0.0009113303,0.00340368,0.0009553445,0.001707945,0.8896608],"category_scores_gemma":[0.001382797,0.000303677,0.0004808132,0.002094336,0.000522075,0.001866112,0.002342255,0.001276493,0.8817036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009822119,"about_ca_system_score_gemma":0.0008519244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434081,"about_ca_topic_score_gemma":0.001382989,"domain_scores_codex":[0.9993801,0.00007622585,0.00007743495,0.0001959283,0.0001769838,0.00009324151],"domain_scores_gemma":[0.9989987,0.0001654403,0.00007699443,0.0001892946,0.0003611429,0.0002082926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001592437,0.0002630469,0.002253107,0.0004466657,0.00001448482,0.0002217271,0.0001720446,0.0001583376,0.003737777,0.004220592,0.1160366,0.8723164],"study_design_scores_gemma":[0.00003585888,0.00008090855,0.003397927,0.0002969095,0.00001397806,0.0004877682,0.0002817957,0.0004031969,0.001103708,0.001316848,0.9925613,0.00001966052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005190121,0.001400479,0.003230206,0.001163476,0.001189912,0.0001810386,0.001690726,0.001825387,0.9841286],"genre_scores_gemma":[0.01389073,0.001008988,0.003577975,0.0006159408,0.000198781,0.0001400488,0.001997646,0.0004053248,0.9781646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1103392,"threshold_uncertainty_score":0.1573855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376990608749006,"score_gpt":0.1845399386630225,"score_spread":0.1707700325755324,"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."}}