{"id":"W4281961544","doi":"10.1155/2022/5780084","title":"Effects of Incontro, Alleanza, Responsabilita, Autonomia Intervention Model Combined with Orem Self-Care Model and the Use of Smart Wearable Devices on Perceived Stress and Self-Efficacy in Patients after Total Hip Arthroplasty","year":2022,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":2,"is_retracted":true,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Intervention (counseling); Self care; Self-efficacy; Psychology; Physical therapy; Medicine; Physical medicine and rehabilitation; Applied psychology; Simulation; Health care; Computer science; Social psychology; Psychiatry; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":{"nature":"Retraction","reason":"Concerns/Issues about Peer Review;Investigation by Journal/Publisher;Objections by Author(s);","date":"1/3/2023 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004515886,0.0002786588,0.0005741532,0.0001931225,0.0002662828,0.0002753978,0.0001706614,0.0003253059,0.00182422],"category_scores_gemma":[0.001062045,0.000114545,0.0008991731,0.0001168335,0.0001388904,0.0002010067,0.0004064529,0.0004674642,0.000112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197705,"about_ca_system_score_gemma":0.0004792881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009414837,"about_ca_topic_score_gemma":0.003297283,"domain_scores_codex":[0.9997333,0.0001067468,0.00003457108,0.00003165022,0.0000393869,0.00005442473],"domain_scores_gemma":[0.9995692,0.00008464581,0.0000850611,0.00001991646,0.00003535056,0.0002057559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1009686,0.1413831,0.2001517,0.0053864,0.003732573,0.0004669148,0.002106976,0.001255605,0.0147949,0.0003659947,0.00400002,0.5253872],"study_design_scores_gemma":[0.01686511,0.1859834,0.7818273,0.0006949826,0.002777158,0.0002246057,0.00140334,0.001940556,0.002408233,0.0002107375,0.005581957,0.00008250734],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976968,0.001075726,0.00006471946,0.0002488802,0.00004913155,0.0001098679,0.00003606801,0.000009373765,0.0007094867],"genre_scores_gemma":[0.9974679,0.0007885981,0.0005700859,0.0001679839,0.000044184,0.0002619655,0.00005339732,0.000001376193,0.0006445478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00182422,"threshold_uncertainty_score":0.006102681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210904990179109,"score_gpt":0.2825511095398191,"score_spread":0.2614606105219082,"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."}}