{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004019319,0.0003222079,0.0002195812,0.000346926,0.0001754056,0.0002731724,0.0001666299,0.0002623636,0.002318595],"category_scores_gemma":[0.002002423,0.000102182,0.0001633438,0.000102028,0.0001397735,0.0002305608,0.0002413179,0.0002379246,0.0003456718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128014,"about_ca_system_score_gemma":0.0001760794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135921,"about_ca_topic_score_gemma":0.001540923,"domain_scores_codex":[0.9998677,0.00003476873,0.00001203808,0.00002636576,0.00004032585,0.00001882404],"domain_scores_gemma":[0.9990504,0.0004069,0.0002194018,0.00004288977,0.0001412867,0.0001391254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01015545,0.002066765,0.7149643,0.000848058,0.0001251715,0.00105668,0.001097038,0.00100618,0.09319588,0.00007754729,0.0007351232,0.1746719],"study_design_scores_gemma":[0.00006349776,0.01019898,0.9726178,0.00005115802,0.00009812158,0.002055575,0.0004007981,0.002842956,0.01104213,0.0001108727,0.0005030193,0.00001505267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991986,0.0001372186,0.000348266,0.00001119627,0.000003226612,0.00001376784,0.0000237092,0.00001552075,0.0002485232],"genre_scores_gemma":[0.9989579,0.00008083544,0.0007128615,0.00001227553,0.000004015814,0.000007230962,0.00003690828,0.000001525899,0.0001864324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002318595,"threshold_uncertainty_score":0.007756472,"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."}}