{"id":"W4399531667","doi":"10.3233/wor-230560","title":"Technological interventions in functional capacity evaluations: An insight into current applications","year":2024,"lang":"en","type":"review","venue":"Work","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Waterloo; University of Alberta","funders":"","keywords":"Usability; Computer science; Consistency (knowledge bases); Information and Communications Technology; Risk analysis (engineering); Systematic review; Work (physics); Emerging technologies; Data science; Artificial intelligence; Engineering; Human–computer interaction; Business; MEDLINE","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":[0.01524833,0.001358787,0.003534663,0.007558886,0.0005764398,0.003852806,0.001784515,0.002594473,0.004158022],"category_scores_gemma":[0.0350157,0.0007667172,0.002656901,0.006650616,0.001594065,0.002867112,0.001957006,0.001990476,0.0006603053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717228,"about_ca_system_score_gemma":0.006426287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110262,"about_ca_topic_score_gemma":0.005647157,"domain_scores_codex":[0.9890499,0.005567771,0.002373934,0.0008563125,0.001888628,0.0002635007],"domain_scores_gemma":[0.9314935,0.0627372,0.002249717,0.0005418267,0.002779734,0.0001979206],"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":[0.0001429225,0.00008880124,0.000706536,0.2791477,0.0006414613,0.00007850265,0.0005694765,0.0003223053,0.0002147407,0.005635611,0.003008133,0.7094439],"study_design_scores_gemma":[0.00008770735,0.0003306873,0.005805794,0.7553453,0.002770031,0.0007611181,0.001009164,0.000409751,0.000435819,0.00503053,0.2279451,0.0000688432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001239656,0.9989952,0.0001437024,0.0002698776,0.00006145345,0.00002220058,0.00001316085,0.000002344653,0.0003680862],"genre_scores_gemma":[0.003452858,0.9953873,0.0006302149,0.0002682874,0.00008027289,0.0000954494,0.00002027394,0.000002518683,0.00006300901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01524833,"threshold_uncertainty_score":0.08064181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567691849327623,"score_gpt":0.4486073203150393,"score_spread":0.291838135382277,"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."}}