{"id":"W4399801288","doi":"10.1109/ichms59971.2024.10555648","title":"PATH: Program to Accelerate Technologies for Homecare","year":2024,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"AGE-WELL","keywords":"Path (computing); Computer science; Operating system","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":[0.002260754,0.000540877,0.0001992914,0.00101777,0.002680593,0.001792332,0.001598322,0.0005660227,0.02103215],"category_scores_gemma":[0.003788775,0.0002595982,0.00037393,0.001460932,0.0007593873,0.001372764,0.004365119,0.001222965,0.004380423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01287715,"about_ca_system_score_gemma":0.08758826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6094756,"about_ca_topic_score_gemma":0.7920003,"domain_scores_codex":[0.9984812,0.0001875878,0.00002419806,0.0001144057,0.0006867333,0.0005059759],"domain_scores_gemma":[0.9949309,0.0002105148,0.0001404555,0.0002392882,0.002041222,0.002437599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006268594,0.00132659,0.03006475,0.0007425024,0.00004249148,0.0003173613,0.005812191,0.0005414286,0.00676758,0.01657478,0.4530082,0.4841752],"study_design_scores_gemma":[0.0002575608,0.0006910365,0.07592257,0.0002497913,0.00005191172,0.0002462587,0.005118289,0.001054189,0.002438128,0.001789729,0.9121279,0.00005264084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2695777,0.002701574,0.05273294,0.02948417,0.001272958,0.01264184,0.04304913,0.01576605,0.5727737],"genre_scores_gemma":[0.4365403,0.004514989,0.1828035,0.006101677,0.0001670949,0.007697468,0.0318884,0.002137487,0.3281491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6094756,"threshold_uncertainty_score":0.7856486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033731693585833,"score_gpt":0.3623420762002878,"score_spread":0.3286103826144548,"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."}}