{"id":"W1619765653","doi":"10.1186/1471-2318-7-2","title":"The eSMAF: a software for the assessment and follow-up of functional autonomy in geriatrics","year":2007,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Frailty in Older Adults","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Université de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke","funders":"","keywords":"Documentation; Software deployment; Medicine; License; Functional requirement; Software; Autonomy; Process management; Software engineering; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001567561,0.0001544866,0.0002422107,0.0001292094,0.0001821303,0.00003234548,0.0001432781,0.0001212445,0.00001830774],"category_scores_gemma":[0.001084473,0.00009524138,0.0001153455,0.000546862,0.00009668065,0.00005501817,0.00008158862,0.0002068202,0.000002377505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046767,"about_ca_system_score_gemma":0.0007928772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005043955,"about_ca_topic_score_gemma":0.000301476,"domain_scores_codex":[0.9985419,0.00003250873,0.0004945929,0.0002360103,0.0003568376,0.0003381323],"domain_scores_gemma":[0.9958427,0.003236901,0.0001895154,0.0003761867,0.0002710906,0.00008358826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001716285,0.0003708015,0.8660278,0.0006928499,0.0002056155,0.00001300701,0.001203872,0.000359388,0.0003745221,0.005115433,0.01987546,0.104045],"study_design_scores_gemma":[0.005958205,0.0002649494,0.9362286,0.00002636113,0.0002058684,0.00003350006,0.0006266338,0.001710984,0.0001085727,0.0007084961,0.0539645,0.0001633147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4364473,0.004922924,0.5464246,0.003511875,0.003993307,0.003772979,0.00007258216,0.0001181725,0.0007363171],"genre_scores_gemma":[0.9282871,0.0004275743,0.06572291,0.0003454227,0.001019603,0.0002249879,0.00005665446,0.00006424254,0.003851542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4918398,"threshold_uncertainty_score":0.3883831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422636827533052,"score_gpt":0.3038927827785173,"score_spread":0.2696664145031868,"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."}}