{"id":"W2549860324","doi":"10.1097/nor.0000000000000298","title":"Telephone Follow-Up by Nurse After Total Knee Arthroplasty","year":2016,"lang":"en","type":"article","venue":"Orthopaedic Nursing","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total knee arthroplasty; Medicine; Arthroplasty; Physical therapy; Surgery","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":[0.001334972,0.0003769565,0.0009126528,0.0003094306,0.0004313498,0.0002015563,0.0004431441,0.000671712,0.005754487],"category_scores_gemma":[0.004438992,0.0001633499,0.0004749054,0.0001910908,0.0002542405,0.0002889751,0.0004504395,0.0005511028,0.0007166772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252397,"about_ca_system_score_gemma":0.0007286508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006801549,"about_ca_topic_score_gemma":0.001414408,"domain_scores_codex":[0.9988549,0.0006932963,0.00009806306,0.000136778,0.000110232,0.000106632],"domain_scores_gemma":[0.9974509,0.0008998219,0.0006096587,0.0001814139,0.0001663987,0.0006918624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2979658,0.03298866,0.05302624,0.003760672,0.0005213364,0.0003207331,0.001002986,0.0006526029,0.005450055,0.00009238205,0.003663816,0.6005548],"study_design_scores_gemma":[0.1863422,0.5010924,0.2930295,0.001049514,0.001176355,0.0008051387,0.0007267508,0.002090675,0.003565922,0.0003202344,0.009718717,0.00008242076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914773,0.001640003,0.0008249063,0.0002662379,0.000193606,0.002800267,0.0003350508,0.00008204534,0.002380572],"genre_scores_gemma":[0.9922483,0.0005981066,0.001566636,0.0003945763,0.0001602563,0.003859736,0.0002870207,0.000003171771,0.0008821547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005754487,"threshold_uncertainty_score":0.01925075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006687122293192586,"score_gpt":0.2428311613023198,"score_spread":0.2361440390091272,"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."}}