{"id":"W1582956184","doi":"10.1007/978-3-642-03832-7_13","title":"SeaTouch: A Haptic and Auditory Maritime Environment for Non Visual Cognitive Mapping of Blind Sailors","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Haptic technology; Modalities; Human–computer interaction; Graphics; Virtual reality; Virtual machine; Artificial intelligence; Computer vision; Computer graphics (images)","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":[0.0002475862,0.0008117383,0.0003667607,0.0002846696,0.0006367359,0.001087379,0.001118555,0.0007050692,0.02298445],"category_scores_gemma":[0.0006617848,0.0002766515,0.0003839521,0.0002156334,0.000518802,0.001161377,0.002868063,0.0005177988,0.002840222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974985,"about_ca_system_score_gemma":0.0006399582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184698,"about_ca_topic_score_gemma":0.003389787,"domain_scores_codex":[0.9998869,0.00002919921,0.000004575211,0.00001592835,0.00003587159,0.00002763271],"domain_scores_gemma":[0.9997484,0.00008777763,0.000009508541,0.00003612763,0.00004568729,0.00007248111],"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":[0.003499852,0.0004792459,0.001994272,0.001159581,0.00008150681,0.001598114,0.005265018,0.01641538,0.3220167,0.02249607,0.04448826,0.580506],"study_design_scores_gemma":[0.0005721202,0.003363759,0.01966401,0.0005887807,0.0003249215,0.004534058,0.005750042,0.1150373,0.1928723,0.03664855,0.6200806,0.0005634383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2698159,0.001633369,0.614212,0.0008557497,0.0005327846,0.0002939035,0.001681261,0.03212243,0.07885258],"genre_scores_gemma":[0.6986152,0.001071015,0.2232225,0.0002964378,0.0001383146,0.0002860167,0.001372419,0.002072843,0.07292518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02298445,"threshold_uncertainty_score":0.07689065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426354187255427,"score_gpt":0.2301092824228242,"score_spread":0.2158457405502699,"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."}}