{"id":"W3140806113","doi":"","title":"3 - Le projet VAHM (Véhicule Autonome pour Handicapés Moteur): la localisation","year":2000,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wheelchair; Odometry; Computer science; Orientation (vector space); Disabled people; Matching (statistics); Ultrasonic sensor; Position (finance); Grid; Simulation; Computer vision; Artificial intelligence; Engineering; Control engineering; Mobile robot; Robot; Physical medicine and rehabilitation; Mathematics; Cerebral palsy; Acoustics","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":[0.0008465338,0.0007617656,0.0005322527,0.0008780856,0.0004525645,0.001556066,0.000598001,0.00193937,0.008959649],"category_scores_gemma":[0.0008215631,0.0002334608,0.0006708494,0.0005238311,0.0003928343,0.0008844159,0.0009559628,0.000772207,0.008127395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005661359,"about_ca_system_score_gemma":0.0009276575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370792,"about_ca_topic_score_gemma":0.00372705,"domain_scores_codex":[0.999376,0.000158891,0.00002857743,0.0001350207,0.000240532,0.00006099834],"domain_scores_gemma":[0.9996618,0.00005763415,0.00001531813,0.00004519582,0.0001800162,0.00003993876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003827201,0.0001269727,0.002138321,0.0005809675,0.00009019709,0.0006022267,0.0003506987,0.01506507,0.06179518,0.03199593,0.03046004,0.8564117],"study_design_scores_gemma":[0.0002344341,0.0007514407,0.00591304,0.0002201332,0.00007487763,0.002379457,0.000277389,0.1492881,0.1094782,0.009100584,0.7221448,0.0001375016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01177878,0.002378514,0.9551277,0.0005959661,0.0004901334,0.0002012832,0.0005786322,0.008526682,0.02032229],"genre_scores_gemma":[0.2079598,0.002394845,0.6536366,0.0005774538,0.0002980454,0.0004946757,0.003704359,0.0009494663,0.1299848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008959649,"threshold_uncertainty_score":0.02997303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143973127500548,"score_gpt":0.2347635060620625,"score_spread":0.2133237747870571,"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."}}