{"id":"W4385623078","doi":"10.1016/j.amper.2023.100138","title":"Reading order during bilingual quality checking of translations: An issue in search of studies","year":2023,"lang":"en","type":"article","venue":"Ampersand","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Reading (process); Order (exchange); Computer science; Quality (philosophy); Source text; Metaphor; Machine translation; Linguistics; Word order; Natural language processing; Artificial intelligence; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008226787,0.00007045013,0.0002199302,0.0002234431,0.00004175991,0.000004304508,0.00006661868,0.00005750687,0.0001873957],"category_scores_gemma":[0.0001411703,0.00006510334,0.00003768913,0.000596647,0.00008057805,0.0000775966,0.00001454758,0.00009321345,0.00001608909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001207636,"about_ca_system_score_gemma":0.00002196575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009249115,"about_ca_topic_score_gemma":0.0003585629,"domain_scores_codex":[0.9989876,0.0002051452,0.0003096433,0.0001880796,0.0001406264,0.0001689394],"domain_scores_gemma":[0.9994594,0.0001886863,0.00005872167,0.0001684239,0.0001030844,0.00002166652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003323967,0.0003219277,0.1098034,0.0006942424,0.0003340321,0.00003848405,0.695242,0.0001372674,0.1731962,0.002564438,0.00002656077,0.01730901],"study_design_scores_gemma":[0.002849191,0.0001793077,0.4205947,0.000327234,0.00007617241,0.000006159124,0.4904308,0.00009506903,0.08382,0.001233589,0.00008138608,0.0003064188],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967989,0.0007476223,0.00002338305,0.00006188088,0.0001274515,0.0001251057,0.00001011115,0.00003266474,0.002072937],"genre_scores_gemma":[0.9992801,0.00009208043,0.000114109,0.00001187428,0.00006377055,0.000009229786,0.00001286844,0.00001088101,0.0004050799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3107913,"threshold_uncertainty_score":0.2654837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124735362457623,"score_gpt":0.4448840951985101,"score_spread":0.3324105589527478,"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."}}