{"id":"W2388340649","doi":"","title":"Assessment of English Translations of Chinese Titles of Clinical Trials Published in Medical Journals","year":2002,"lang":"en","type":"article","venue":"Huaxi yixue","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spelling; Medicine; Proofreading; Grammar; Clinical trial; Arabic; Linguistics; Natural language processing; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3755159,0.00164617,0.003986376,0.02345378,0.00251562,0.006700628,0.003432772,0.001943348,0.006058785],"category_scores_gemma":[0.7957302,0.001632044,0.004278566,0.01838834,0.004185377,0.008189304,0.006011555,0.001217376,0.001676199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00462497,"about_ca_system_score_gemma":0.01616325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434662,"about_ca_topic_score_gemma":0.003347748,"domain_scores_codex":[0.5181254,0.1768601,0.2174436,0.01121105,0.07450066,0.00185925],"domain_scores_gemma":[0.1005419,0.4092139,0.2577438,0.06176719,0.1679508,0.002782342],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02256798,0.001111676,0.4030501,0.09201466,0.008618699,0.001823048,0.0551337,0.001782254,0.007744877,0.003722559,0.01950648,0.382924],"study_design_scores_gemma":[0.006454238,0.01026128,0.837791,0.02480487,0.01105418,0.003949888,0.01321951,0.008061729,0.01572094,0.004210008,0.06311479,0.001357487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367934,0.03195195,0.04926578,0.005708881,0.002319349,0.03358531,0.02218938,0.001221387,0.01696445],"genre_scores_gemma":[0.895071,0.005526667,0.06133451,0.001211441,0.0008330038,0.02215585,0.01081627,0.0003883041,0.002663005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244841,"threshold_uncertainty_score":0.7701001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5802205948157895,"score_gpt":0.6459829215480597,"score_spread":0.06576232673227023,"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."}}