{"id":"W4415601314","doi":"10.1136/bmjopen-2025-105223","title":"Cohort profile: baseline characteristics and design of the McMaster Monitoring My Mobility (MacM3) study – a prospective digital mobility cohort of community-dwelling older Canadians from Southern Ontario","year":2025,"lang":"en","type":"article","venue":"BMJ Open","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; Impact; McMaster University Medical Centre","funders":"Government of Ontario; AGE-WELL; McMaster University","keywords":"Baseline (sea); Cohort; Cohort study; Pipeline (software); Unit (ring theory); Work (physics); Prospective cohort study","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000922522,0.0005057881,0.0004713363,0.0009028336,0.00317989,0.001107393,0.001200738,0.0008174026,0.002295559],"category_scores_gemma":[0.001565048,0.0004254768,0.0008004687,0.002439477,0.0005616198,0.0005071331,0.0008714973,0.0005789318,0.0004447041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009714603,"about_ca_system_score_gemma":0.01057391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.931313,"about_ca_topic_score_gemma":0.9459821,"domain_scores_codex":[0.9990227,0.00006744971,0.00005844165,0.0002382298,0.0003271828,0.0002859815],"domain_scores_gemma":[0.9991055,0.00002315181,0.0001671708,0.00008434246,0.0004150302,0.0002046322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002311575,0.00005590108,0.9955748,0.00002602063,0.00007311904,0.00008809761,0.0006211401,0.00003887933,0.0002714721,0.00007013466,0.00143423,0.001514943],"study_design_scores_gemma":[0.00001638997,0.00004773873,0.9983741,0.00001501165,0.00002166329,0.00006389288,0.0004767665,0.00006323402,0.00002147348,0.00002488866,0.0008666081,0.000008294727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819263,0.0005206395,0.0003518831,0.0002510944,0.00001890151,0.0004088301,0.01396211,0.00001785558,0.00254238],"genre_scores_gemma":[0.9908956,0.0001642966,0.0004240339,0.0001946991,0.00001339214,0.0004112207,0.006491789,0.00001165959,0.001393372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06868702,"threshold_uncertainty_score":0.138183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08018365174246844,"score_gpt":0.4018951982854079,"score_spread":0.3217115465429395,"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."}}