{"id":"W4394527289","doi":"10.6084/m9.figshare.22132977","title":"Development of a co-created online self-management program for people with lower limb loss: self-management for amputee rehabilitation using technology (SMART)","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rehabilitation; Limb loss; Physical medicine and rehabilitation; Self-management; Physical therapy; Psychology; Human–computer interaction; Computer science; Medicine; Amputation; Artificial intelligence","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":[0.004458766,0.0005350033,0.0004256573,0.000748846,0.0007806534,0.0007593582,0.001382965,0.0006280919,0.005421259],"category_scores_gemma":[0.008003063,0.0003123111,0.0007984696,0.0003496997,0.0006031466,0.001371893,0.002040758,0.0008566084,0.0009428311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709813,"about_ca_system_score_gemma":0.004642593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008272329,"about_ca_topic_score_gemma":0.001586149,"domain_scores_codex":[0.9974406,0.001390423,0.0002035691,0.0002773512,0.000435495,0.0002525841],"domain_scores_gemma":[0.9968827,0.001347424,0.0001881804,0.0003663709,0.0004935476,0.0007217799],"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":[0.00123591,0.03296919,0.007780577,0.002645928,0.0001293762,0.0004954877,0.007724886,0.002395415,0.01536789,0.001807517,0.006404757,0.9210431],"study_design_scores_gemma":[0.02163842,0.1790233,0.2000606,0.005166404,0.002146294,0.004466309,0.02684753,0.05698334,0.1301491,0.01256522,0.3599828,0.0009707104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8269048,0.0003517002,0.1162771,0.00153839,0.000404989,0.03890655,0.0007235804,0.002386807,0.01250621],"genre_scores_gemma":[0.3985293,0.0005206324,0.5516221,0.0007182533,0.00007021991,0.04139708,0.0009030825,0.0001985837,0.00604072],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005421259,"threshold_uncertainty_score":0.02358049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868331945068073,"score_gpt":0.3250545723668722,"score_spread":0.3063712529161914,"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."}}