{"id":"W4413039987","doi":"10.3233/shti250881","title":"REACH: A Patient Friendly App to Support Cancer Rehabilitation","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Usability; Rehabilitation; Scalability; Resource (disambiguation); Medicine; Medical emergency; Nursing; Computer science; Physical therapy; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005366643,0.000981784,0.0004217287,0.0008491882,0.0003182747,0.0007367648,0.0008827144,0.0009839874,0.03897572],"category_scores_gemma":[0.003761477,0.000257141,0.0006646478,0.0003470153,0.0001721022,0.0009957436,0.002158491,0.000540745,0.01176905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332526,"about_ca_system_score_gemma":0.0005950893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232437,"about_ca_topic_score_gemma":0.004570121,"domain_scores_codex":[0.99959,0.0001389112,0.00003989984,0.00005531969,0.0001225784,0.00005327547],"domain_scores_gemma":[0.9984439,0.0009635683,0.00007804066,0.00007722272,0.0001639769,0.0002732339],"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":[0.001752106,0.0008538284,0.01002734,0.001814046,0.0001544219,0.001216447,0.001478739,0.0005464038,0.004667746,0.0008031325,0.4544353,0.5222504],"study_design_scores_gemma":[0.001147744,0.003180333,0.07682534,0.002635125,0.0005742921,0.006465302,0.00202305,0.01251182,0.008408765,0.006373272,0.8792694,0.0005855177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.2595916,0.01012245,0.1431077,0.01382523,0.00244502,0.01020962,0.05618442,0.3006907,0.2038232],"genre_scores_gemma":[0.5912752,0.008299719,0.1849105,0.01621159,0.001672094,0.01041213,0.03199737,0.008816912,0.1464044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03897572,"threshold_uncertainty_score":0.1303868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333967697616437,"score_gpt":0.3848009218984181,"score_spread":0.3614612449222538,"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."}}