{"id":"W1582352074","doi":"10.1111/j.1444-0938.2006.00050.x","title":"Measuring mobility performance: experience gained in designing a mobility course","year":2006,"lang":"en","type":"article","venue":"Clinical and Experimental Optometry","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orientation and Mobility; Course (navigation); Orientation (vector space); Computer science; Psychology; Physical medicine and rehabilitation; Cognitive psychology; Human–computer interaction; Medicine; Engineering; Mathematics; Visually impaired","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":[0.0008269462,0.000187112,0.0004885263,0.00007758864,0.0001476349,0.0000130319,0.00006808843,0.0001550517,0.00008885805],"category_scores_gemma":[0.0001222773,0.0001544326,0.0000997797,0.000261758,0.0007233542,0.0001524372,0.0001353115,0.0003016171,0.00001486515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005507927,"about_ca_system_score_gemma":0.00003078823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003723981,"about_ca_topic_score_gemma":3.988417e-7,"domain_scores_codex":[0.9982991,0.00009695099,0.000620445,0.0004661672,0.000189483,0.0003278845],"domain_scores_gemma":[0.9993479,0.0001940116,0.0000695203,0.0002119331,0.0000350889,0.0001415061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006467886,0.004307991,0.9906656,0.00006701684,0.0000210707,0.00002562852,0.0003050872,0.000002349916,0.003558392,0.000008209696,0.00003471802,0.0003571427],"study_design_scores_gemma":[0.002490271,0.00155578,0.9743361,0.0001039722,0.00001853455,0.00004303489,0.001809427,0.0003189959,0.01913245,0.0000154079,0.00001778964,0.0001582497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965279,0.001595446,0.00001303374,0.00006389362,0.0001982645,0.0003677573,0.000001303599,0.00005082096,0.001181543],"genre_scores_gemma":[0.9988626,0.00004507347,0.0005615234,0.0001623738,0.0001285408,0.00007981078,0.000004618932,0.00001057333,0.0001449398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01632952,"threshold_uncertainty_score":0.6297578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0926363717394901,"score_gpt":0.454853269573207,"score_spread":0.3622168978337169,"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."}}