{"id":"W3082532072","doi":"10.7202/1071149ar","title":"Translation and Loss-Aversion1","year":2020,"lang":"en","type":"article","venue":"TTR traduction terminologie rédaction","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loss aversion; Translation studies; Perspective (graphical); Rhetoric; Field (mathematics); Linguistics; Phenomenon; Translation (biology); Sociology; Epistemology; Psychology; Positive economics; Computer science; Philosophy; Economics; Mathematics; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006543883,0.0001249257,0.0001327058,0.00005846976,0.0003903764,0.0001131003,0.00004748349,0.00005299423,0.0006749887],"category_scores_gemma":[0.00001119904,0.0001136191,0.00005125316,0.00004576089,0.0001683843,0.0008705389,0.000007738623,0.0001542029,0.0001046302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001814312,"about_ca_system_score_gemma":0.000009418688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006356481,"about_ca_topic_score_gemma":0.0000432774,"domain_scores_codex":[0.9992471,0.0000457931,0.0001965406,0.000248754,0.0001258057,0.0001359501],"domain_scores_gemma":[0.9996597,0.00006770511,0.0001019863,0.00007336903,0.00003855639,0.00005874447],"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":[0.0001962088,0.00004215401,0.0004345479,0.00006443375,0.00006014136,0.000005072308,0.02013473,0.0000241502,0.0007970068,0.00599449,0.002861065,0.969386],"study_design_scores_gemma":[0.0004399523,0.0001599178,0.001096768,0.000005624513,0.00005670551,0.0000143747,0.003062583,0.0004478062,0.000360375,0.0004268584,0.9937681,0.0001609107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6587574,0.006195143,0.006708178,0.1932189,0.005483035,0.00120619,0.0001012178,0.002730683,0.1255993],"genre_scores_gemma":[0.9968064,0.001257349,0.0001825533,0.0005819849,0.0008318034,0.000009696046,0.0000186936,0.00001221981,0.0002992751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9909071,"threshold_uncertainty_score":0.7390653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918591213683795,"score_gpt":0.2931984078405507,"score_spread":0.1013392864721712,"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."}}