{"id":"W4406725045","doi":"10.62441/nano-ntp.vi.4732","title":"AI In Rehabilitation Medicine: Enhancing Recovery And Quality Of Life","year":2024,"lang":"en","type":"article","venue":"Nanotechnology Perceptions","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Rehabilitation; Quality (philosophy); Quality of life (healthcare); Physical medicine and rehabilitation; Psychology; Medicine; Physical therapy; Nursing; Philosophy; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087974,0.00006730256,0.0002219684,0.0005101191,0.00004287084,0.000003777993,0.0000331276,0.0002722303,0.0002558283],"category_scores_gemma":[0.00232449,0.00006040815,0.00003389331,0.0005100687,0.0003252815,0.00009012369,0.00001463763,0.0003225298,0.00003932687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057355,"about_ca_system_score_gemma":0.0001922765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371957,"about_ca_topic_score_gemma":0.00159641,"domain_scores_codex":[0.9989663,0.00005691684,0.0005407379,0.0002154194,0.00009543629,0.0001251394],"domain_scores_gemma":[0.9991394,0.0004978433,0.00003844415,0.0001867873,0.00009961433,0.00003794045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000164878,0.0002166554,0.1046661,0.001741923,0.00003525352,0.000003398791,0.01775093,0.00001612535,0.5299224,0.02641054,0.002817217,0.3162546],"study_design_scores_gemma":[0.0004135867,0.003795124,0.7394195,0.004080641,0.0001606577,0.00007342268,0.08575329,0.001913567,0.0166498,0.1405824,0.006644993,0.0005130459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353527,0.0009209553,0.001668121,0.0612999,0.0003022863,0.0002156289,0.000002101259,0.0001033556,0.0001348942],"genre_scores_gemma":[0.9976348,0.0005226674,0.0009739315,0.0005953346,0.00008752912,0.0000387785,0.00001027073,0.000008016174,0.000128626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347533,"threshold_uncertainty_score":0.280114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1049753076520661,"score_gpt":0.4510565012296646,"score_spread":0.3460811935775985,"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."}}