{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000484813,0.0001740434,0.0002485628,0.0001245249,0.0002178823,0.00009814692,0.0001453784,0.00009491875,0.004642352],"category_scores_gemma":[0.00003036961,0.0001374914,0.0002731307,0.000298055,0.00007614629,0.0006539175,0.000003622692,0.0002409054,0.0002968881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003641,"about_ca_system_score_gemma":0.00001743969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001962715,"about_ca_topic_score_gemma":0.00003464937,"domain_scores_codex":[0.9984533,0.0003719135,0.0003958679,0.0002122348,0.0002720677,0.000294578],"domain_scores_gemma":[0.9994243,0.0000547106,0.000159133,0.0001608507,0.0001077769,0.00009320368],"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":[0.0001354841,0.0003907196,0.0002965535,0.00001559107,0.001274659,0.00004732064,0.009496885,0.00005792349,0.003709014,0.03939,0.002633336,0.9425525],"study_design_scores_gemma":[0.004094915,0.0005403139,0.02014652,0.0000486309,0.005078528,0.003390331,0.001637499,0.0001869644,0.01108368,0.09952106,0.853358,0.0009135738],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3539152,0.1209924,0.4937749,0.001251635,0.001997175,0.0003163538,0.00001564842,0.0001826073,0.02755415],"genre_scores_gemma":[0.9805145,0.005610604,0.008136751,0.001279806,0.001816152,0.0000253633,0.00004047422,0.00006244636,0.00251385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9416389,"threshold_uncertainty_score":0.9962676,"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."}}