{"id":"W11259786","doi":"","title":"Infrastructure of an adaptive multi-agent system for presentation of mathematical expression to visually-impaired users","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Presentation (obstetrics); Visually impaired; Expression (computer science); Computer science; Human–computer interaction; Medicine; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003033637,0.0003022292,0.0005765648,0.0003369623,0.00008664213,0.00009283402,0.0009274381,0.0003223572,0.00001647017],"category_scores_gemma":[0.0007727548,0.0003124664,0.000185394,0.0002765725,0.00007914854,0.0001152744,0.0004103176,0.0003192695,0.000004947527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506597,"about_ca_system_score_gemma":0.0001271912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001438843,"about_ca_topic_score_gemma":0.0001164241,"domain_scores_codex":[0.9957303,0.002067827,0.0008277735,0.000472759,0.0005919264,0.0003093674],"domain_scores_gemma":[0.9953696,0.0008055532,0.0003711755,0.001491262,0.001749356,0.0002130722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004060344,0.001835321,0.001606264,0.0193201,0.0006749736,0.000008569285,0.07991716,0.1905385,0.6302688,0.02540811,0.002844064,0.04717213],"study_design_scores_gemma":[0.0006545356,0.000003874016,0.003479938,0.006530151,0.00003923375,0.000004145586,0.0007600816,0.4756086,0.5119583,0.0004835359,0.0001678346,0.0003097002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.394085,0.0001304533,0.6021162,0.00007781755,0.0001655587,0.001650772,0.0001385708,0.0002245021,0.001411148],"genre_scores_gemma":[0.8190548,0.0000134464,0.180273,0.000002357521,0.00002061144,0.0001951076,0.0001842943,0.00005670755,0.000199646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4249698,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696033253844889,"score_gpt":0.2843869836840986,"score_spread":0.2574266511456497,"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."}}