{"id":"W4311160484","doi":"10.4000/interventionseconomiques.19114","title":"Le laboratoire vivant au service de la mobilité des aînés dans le contexte d’une MRC à faible densité de population : le point de vue des participants sur les retombées et les impacts de la démarche","year":2022,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Jonquière","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008235059,0.0005172649,0.0007713502,0.0002877833,0.005037563,0.0002337214,0.0005497223,0.0004855439,0.0001951643],"category_scores_gemma":[0.003515359,0.0006147349,0.0004951121,0.0005456166,0.001085961,0.0009306923,0.0009133811,0.001599694,0.00001591927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003768357,"about_ca_system_score_gemma":0.004183921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5599781,"about_ca_topic_score_gemma":0.7583448,"domain_scores_codex":[0.9822506,0.01406886,0.001250147,0.0006481854,0.0001533298,0.001628842],"domain_scores_gemma":[0.9937413,0.004021238,0.0006369113,0.0006291549,0.0005206884,0.0004506718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001244808,0.001824211,0.8134919,0.003372621,0.0005615051,0.00006568678,0.1332577,0.003653979,0.004878201,0.0308266,0.002747551,0.00519562],"study_design_scores_gemma":[0.001430037,0.0003133386,0.8154068,0.004920743,0.0002152669,0.00009381085,0.1224072,0.00365374,0.002806783,0.04526509,0.002974012,0.0005132068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638628,0.005516652,0.009579235,0.01808693,0.0002829811,0.0008527565,0.0005021825,0.0003786417,0.0009378197],"genre_scores_gemma":[0.9886757,0.0009016597,0.006189527,0.0005270285,0.0001480068,0.0008578703,0.00007476148,0.0001519541,0.002473557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1983666,"threshold_uncertainty_score":0.9996304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261904385164968,"score_gpt":0.41204522597054,"score_spread":0.2858547874540432,"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."}}