{"id":"W1553669113","doi":"10.1007/978-3-642-12116-6_43","title":"Identification of Translationese: A Machine Learning Approach","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Support vector machine; Machine learning; Classifier (UML)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001140148,0.0003246207,0.000380579,0.0008335651,0.0001837195,0.0002915366,0.00291501,0.0003751444,0.000007035791],"category_scores_gemma":[0.0001248225,0.0002890497,0.00009753073,0.0006545308,0.0005129581,0.000619017,0.0004809001,0.001394239,0.000004680998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000740878,"about_ca_system_score_gemma":0.0002415635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000168223,"about_ca_topic_score_gemma":0.00001791068,"domain_scores_codex":[0.9972623,0.00003154495,0.00057432,0.0009948037,0.0008294801,0.0003075439],"domain_scores_gemma":[0.9980069,0.0001700273,0.0005055632,0.0009446699,0.0003030184,0.00006976399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005376187,0.00004151104,0.00004606888,0.000156828,0.000008544303,0.00001278415,0.001776127,0.005622764,0.03597296,0.04929818,0.000001023747,0.9070578],"study_design_scores_gemma":[0.0001101394,0.00005411313,0.00001453333,0.0001344529,0.000006650911,0.00004831991,4.989349e-8,0.6401487,0.05973245,0.2992147,0.0001641536,0.0003717953],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003519715,0.001748022,0.9964346,0.0002422647,0.000389556,0.0002772025,0.000003065004,0.000293223,0.0005768588],"genre_scores_gemma":[0.2541806,0.00001744803,0.7454236,0.00007755373,0.00009354817,0.000005754158,0.000007975105,0.0000192494,0.0001742991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.906686,"threshold_uncertainty_score":0.9999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242845994229745,"score_gpt":0.2552222638959913,"score_spread":0.2427938039536938,"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."}}