{"id":"W4406143176","doi":"10.1016/j.cag.2025.104162","title":"Foreword to the special section on graphics interface 2023","year":2025,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Simon Fraser University","funders":"","keywords":"Section (typography); Computer graphics (images); Graphics; Computer science; Interface (matter); Special section; Computer graphics; Engineering; Engineering physics; Operating system","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":[0.0001050661,0.0001460573,0.000109136,0.0002693334,0.0001480038,0.00007575955,0.0002496057,0.00008635793,0.00001065243],"category_scores_gemma":[0.00001129513,0.0001216044,0.0000660907,0.0006856036,0.00002379784,0.00005661455,0.0000540731,0.0002734877,0.0000141315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003295068,"about_ca_system_score_gemma":0.000008731384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001024711,"about_ca_topic_score_gemma":0.00009988937,"domain_scores_codex":[0.9993507,0.00001577592,0.0001531025,0.0001768277,0.000125004,0.0001785611],"domain_scores_gemma":[0.9995982,0.00006115202,0.000019315,0.0002395246,0.00004000605,0.0000418059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002089737,0.00001635749,0.0001002099,0.00007475258,0.00005259637,0.000001070581,0.0003183594,0.8288528,0.00000611834,0.01700831,0.1392397,0.01430881],"study_design_scores_gemma":[0.0003333459,0.0001106635,0.006335889,0.0002231667,0.00003167667,0.000001963904,0.00004045436,0.5287482,0.001536631,0.002749906,0.4595412,0.0003469083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03768396,0.0001371844,0.946883,0.001302912,0.01013936,0.000298032,0.00000882205,0.0003452411,0.003201463],"genre_scores_gemma":[0.9942484,0.0002365673,0.001224098,0.001605939,0.002183166,0.00002924879,0.00001359062,0.0000332831,0.0004257331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9565644,"threshold_uncertainty_score":0.4958884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643453364084732,"score_gpt":0.2203814512278771,"score_spread":0.2117379978637924,"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."}}