{"id":"W6945345602","doi":"10.25384/sage.c.5253549","title":"Return to work following total knee arthroplasty: A multiple case study of stakeholder perspectives","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Rehabilitation; Perception; Stakeholder","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01180412,0.0005221447,0.0005603296,0.001985193,0.007771927,0.003567016,0.001607755,0.002134739,0.002263191],"category_scores_gemma":[0.01326414,0.0005657265,0.0006398015,0.001853975,0.003094112,0.003851659,0.003992227,0.001634474,0.0002307662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004641925,"about_ca_system_score_gemma":0.004068563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008777408,"about_ca_topic_score_gemma":0.0196023,"domain_scores_codex":[0.9889298,0.00810928,0.0003899105,0.0003276498,0.0008781461,0.001365182],"domain_scores_gemma":[0.9883394,0.007742235,0.001645679,0.0002133638,0.001071493,0.000987796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009727105,0.0005138954,0.03051569,0.0003586415,0.00002607492,0.01595601,0.9367751,0.0002145031,0.000861632,0.001522326,0.0005602623,0.01259854],"study_design_scores_gemma":[0.000004971941,0.0001558408,0.005514967,0.0001595255,0.000006903863,0.001848022,0.9896449,0.000189823,0.0001404788,0.0002018636,0.002119498,0.00001320033],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965799,0.0002987634,0.000746339,0.0006682197,0.00001138857,0.0001188987,0.00001953505,0.00000215246,0.001554768],"genre_scores_gemma":[0.9977618,0.000671163,0.0007029338,0.0001608814,0.00001044435,0.0001280963,0.00001721195,0.000003239954,0.000544037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180412,"threshold_uncertainty_score":0.06242687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141088274646199,"score_gpt":0.3334877629374161,"score_spread":0.2193789354727962,"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."}}