{"id":"W3116306320","doi":"","title":"A Visual-Arts-Based Mobile Health Solution to Promote Brain Health in Older Adults with Low Vision","year":2019,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Baycrest Hospital; Université de Montréal","funders":"","keywords":"Psychology; Optometry; Computer science; Computer vision; Medicine","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":[0.0002913415,0.0004165076,0.0002181293,0.000474106,0.0005372976,0.0008050646,0.000469279,0.0008737053,0.01803039],"category_scores_gemma":[0.0009593007,0.0000764748,0.0004783625,0.0001769774,0.0001571953,0.0005766832,0.001416089,0.0004939846,0.003330907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881988,"about_ca_system_score_gemma":0.0006702263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383532,"about_ca_topic_score_gemma":0.003831333,"domain_scores_codex":[0.9998353,0.00003581214,0.000009052517,0.00002901124,0.00004210039,0.0000487237],"domain_scores_gemma":[0.9997475,0.00005387053,0.00001769909,0.00001302776,0.00005175562,0.0001161784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001999829,0.006024085,0.009583115,0.001240636,0.0001242305,0.0006799594,0.002045264,0.00044028,0.01918333,0.001425936,0.05278192,0.9044715],"study_design_scores_gemma":[0.006877305,0.03059346,0.2396559,0.003432108,0.002113945,0.004473483,0.02192059,0.02409027,0.04361828,0.0139199,0.6088703,0.0004344058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368937,0.003122859,0.02908246,0.008748035,0.001138206,0.002370332,0.002352404,0.004082153,0.11221],"genre_scores_gemma":[0.8685958,0.002311181,0.04831988,0.004637275,0.0003970061,0.001403854,0.001186086,0.0001298537,0.07301909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01803039,"threshold_uncertainty_score":0.06031764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945049388742824,"score_gpt":0.3871097428873267,"score_spread":0.3676592489998985,"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."}}