{"id":"W2130237320","doi":"10.7202/010943ar","title":"Translation through Visualization","year":2005,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Computer science; Focus (optics); Human–computer interaction; Context (archaeology); Heuristic; Think aloud protocol; Translation (biology); Cognition; Information visualization; Artificial intelligence; Psychology; Usability","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":[],"consensus_categories":[],"category_scores_codex":[0.006970681,0.001347019,0.0006415008,0.002515532,0.001572181,0.009035539,0.001227308,0.002107249,0.02900025],"category_scores_gemma":[0.03482614,0.0005666197,0.0009999427,0.00248199,0.002769115,0.009246496,0.004718199,0.002255199,0.006416713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925258,"about_ca_system_score_gemma":0.001253304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153066,"about_ca_topic_score_gemma":0.0007444413,"domain_scores_codex":[0.9920908,0.005581516,0.0003903431,0.0006760011,0.001016808,0.0002443886],"domain_scores_gemma":[0.9800935,0.01185102,0.0008604172,0.0048794,0.001968974,0.000346723],"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":[0.0007583125,0.0001583601,0.001735293,0.002308608,0.000131824,0.001231547,0.06483211,0.005866067,0.02235123,0.2721283,0.08534931,0.543149],"study_design_scores_gemma":[0.0001016031,0.0001414289,0.00108078,0.0007996614,0.0000544409,0.0008875138,0.007380434,0.01343155,0.01211384,0.1921349,0.7717289,0.0001449631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01751709,0.002489216,0.8595229,0.00793303,0.001395506,0.0003235247,0.001386092,0.02235212,0.08708044],"genre_scores_gemma":[0.3448893,0.003033346,0.6053774,0.001240071,0.0005994904,0.0008264112,0.001954755,0.008459175,0.03362006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02900025,"threshold_uncertainty_score":0.0970155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573708166940323,"score_gpt":0.3443720996111085,"score_spread":0.2786350179417053,"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."}}