{"id":"W1963546504","doi":"10.1097/opx.0b013e3182045988","title":"Traffic Gap Detection for Pedestrians with Low Vision","year":2010,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"National Eye Institute","keywords":"Retinitis pigmentosa; Audiology; Macular degeneration; Peripheral vision; Latency (audio); Glaucoma; Night vision; Hearing loss; Medicine; Visual acuity; Psychology; Optometry; Ophthalmology; Computer science; Computer vision; Retinal; Telecommunications","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001664557,0.0001352316,0.0001776267,0.0003538997,0.002838245,0.00006815035,0.0002226879,0.0001058758,0.00003734381],"category_scores_gemma":[0.0007839336,0.00009103576,0.00002688073,0.001235502,0.0005359802,0.0005394014,0.0001241461,0.0004277039,0.00003352765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003312777,"about_ca_system_score_gemma":0.0001258488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008522858,"about_ca_topic_score_gemma":0.0001489558,"domain_scores_codex":[0.9983287,0.00004956494,0.0002371326,0.0004986349,0.0004118596,0.0004740336],"domain_scores_gemma":[0.9984164,0.0006748406,0.0001314614,0.0002897422,0.0003144732,0.000173069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003757198,0.0004357187,0.2492392,0.0009188334,0.00002118092,0.000003829211,0.006578233,0.00005136364,0.3855475,0.0003286014,0.001339609,0.3551601],"study_design_scores_gemma":[0.002781888,0.00162093,0.9680067,0.000632875,0.00002841095,0.00001375729,0.002841045,0.0106544,0.005763405,0.0001115021,0.007104815,0.0004402315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908533,0.00001604349,0.005997956,0.0006053754,0.001047019,0.0006203993,0.000006404611,0.0000984844,0.0007550163],"genre_scores_gemma":[0.9964909,0.00001860098,0.002596575,0.0001421196,0.0001604028,0.00005584688,8.201316e-7,0.00001257136,0.0005221631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7187675,"threshold_uncertainty_score":0.9984599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779792775826132,"score_gpt":0.4956273031145065,"score_spread":0.4678293753562451,"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."}}