{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004692878,0.0004777272,0.000574793,0.0006144019,0.0006820117,0.001208901,0.001674446,0.0008117309,0.01092896],"category_scores_gemma":[0.001529792,0.0002441364,0.0003575926,0.0003061704,0.0003584876,0.0008610574,0.00203809,0.0006026312,0.002655025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005905413,"about_ca_system_score_gemma":0.001086448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046589,"about_ca_topic_score_gemma":0.0008601131,"domain_scores_codex":[0.9996477,0.0001076817,0.00003615973,0.00007328477,0.00008309924,0.00005207762],"domain_scores_gemma":[0.9992679,0.000126621,0.0000529912,0.0001505286,0.0002366012,0.0001653401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004072756,0.002607343,0.01136038,0.0009002284,0.0003957897,0.003771185,0.004130585,0.1181982,0.3552654,0.03889881,0.03114626,0.4292531],"study_design_scores_gemma":[0.0002127577,0.0005466292,0.002372174,0.0000823872,0.0001574717,0.0004150604,0.0003580987,0.8850701,0.06272131,0.006730587,0.04123691,0.00009643538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1601224,0.0002065047,0.8015237,0.0006210581,0.0002013151,0.0006476368,0.0003611575,0.02155107,0.01476512],"genre_scores_gemma":[0.8611761,0.0001391342,0.1277137,0.0001593875,0.0000524437,0.00047165,0.0005455313,0.0003365586,0.009405404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01092896,"threshold_uncertainty_score":0.03656101,"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."}}