{"id":"W53190807","doi":"","title":"Experiences with GPS Travel Diaries in Rural Older Driver Research","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Snowball sampling; TRIPS architecture; Data collection; Sample (material); Geography; Geographic information system; Population; Transport engineering; Unit (ring theory); Assisted GPS; Business; Computer science; Psychology; Engineering; Medicine; Telecommunications; Environmental health; Cartography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0185749,0.00047339,0.0006045353,0.001457902,0.002708719,0.002689159,0.001278192,0.001175269,0.00213182],"category_scores_gemma":[0.04130451,0.0006800613,0.0005145957,0.001660561,0.001609188,0.002546626,0.004627866,0.001253496,0.0006804817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262681,"about_ca_system_score_gemma":0.001514421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007314083,"about_ca_topic_score_gemma":0.01081588,"domain_scores_codex":[0.9751482,0.02043864,0.001210494,0.0008263813,0.001492432,0.0008839356],"domain_scores_gemma":[0.9688814,0.01997012,0.003243418,0.001798905,0.003957381,0.002148748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002516611,0.0002922768,0.09515484,0.000511629,0.00004603788,0.00207997,0.8401318,0.0001908466,0.001716015,0.0007086297,0.002522922,0.05639327],"study_design_scores_gemma":[0.00004808548,0.001276206,0.03685836,0.0004196417,0.00005411874,0.002774873,0.8954949,0.0006692049,0.0008576895,0.0005057157,0.06090496,0.0001363263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882185,0.001128359,0.002717466,0.002021532,0.0001319271,0.0002157183,0.0002823755,0.0000467593,0.005237221],"genre_scores_gemma":[0.9928389,0.001216029,0.002746023,0.0006321972,0.00008477828,0.0002165104,0.0001982395,0.00002947768,0.002037996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185749,"threshold_uncertainty_score":0.09823459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378728423205117,"score_gpt":0.457017389222927,"score_spread":0.3191445469024152,"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."}}