{"id":"W3045630680","doi":"10.2196/19296","title":"Telerehabilitation to Address the Rehabilitation Gap in Anterior Cruciate Ligament Care: Survey of Patients","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute for Health and Care Research","keywords":"Telerehabilitation; Rehabilitation; Anterior cruciate ligament; Anterior cruciate ligament reconstruction; Medicine; Population; Checklist; Physical therapy; Physical medicine and rehabilitation; Health care; Psychology; Telemedicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00314079,0.0001624612,0.0002773595,0.001028012,0.0005474649,0.0007287567,0.0004036295,0.0007676351,0.002308413],"category_scores_gemma":[0.007479621,0.0002461183,0.0003926045,0.001402279,0.0003959783,0.001086329,0.001312432,0.0007512828,0.0004910878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006178407,"about_ca_system_score_gemma":0.0008469243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072373,"about_ca_topic_score_gemma":0.003151279,"domain_scores_codex":[0.997781,0.0009238041,0.0003978044,0.0001658221,0.0004272788,0.0003043517],"domain_scores_gemma":[0.9957897,0.001040755,0.001643931,0.0001314583,0.0006858097,0.0007083979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009893966,0.0004887585,0.9817076,0.0001986882,0.00003687699,0.0001751462,0.006292089,0.00008909781,0.0003901999,0.00004993894,0.0008937239,0.009578904],"study_design_scores_gemma":[0.00003736344,0.001073706,0.9789023,0.00009293903,0.0000203652,0.0006434166,0.0166947,0.0003249269,0.000161321,0.00004525653,0.00198456,0.00001926104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978737,0.0001534476,0.0001774104,0.000319654,0.000005477015,0.0001630159,0.000578465,0.000007474949,0.0007214639],"genre_scores_gemma":[0.998044,0.0002441981,0.0003480241,0.0003630998,0.000008644877,0.0004007399,0.0003570341,0.000002976342,0.0002311554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00314079,"threshold_uncertainty_score":0.01661032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0573317946913337,"score_gpt":0.4173649450468795,"score_spread":0.3600331503555458,"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."}}