{"id":"W1600615759","doi":"10.1155/2015/180436","title":"New Technologies for the Management and Rehabilitation of Chronic Diseases and Conditions","year":2015,"lang":"en","type":"editorial","venue":"BioMed Research International","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Rehabilitation; Medicine; Chronic disease; Physical medicine and rehabilitation; Intensive care medicine; Physical therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009428809,0.003261733,0.002790868,0.004169193,0.002546895,0.009200303,0.003307263,0.01870049,0.01287244],"category_scores_gemma":[0.02980959,0.0009509782,0.002883206,0.002026571,0.003936416,0.00654214,0.00228923,0.02132127,0.01052107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445,"about_ca_system_score_gemma":0.003650906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495145,"about_ca_topic_score_gemma":0.003535036,"domain_scores_codex":[0.9921007,0.001576628,0.001093342,0.0005731538,0.004368131,0.000288102],"domain_scores_gemma":[0.9613463,0.02544104,0.001339689,0.001085523,0.00860359,0.002183887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002170214,0.00002590012,0.00003155044,0.0009578615,0.00002308868,0.0001544501,0.00007066192,0.00004219803,0.00007639167,0.001639195,0.9510644,0.04589259],"study_design_scores_gemma":[0.00001572292,0.00001687559,0.0001088777,0.000877319,0.00002623069,0.0002340164,0.0000623007,0.00005875431,0.00004168837,0.001301129,0.9972454,0.00001158599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003610729,0.05911294,0.0004540128,0.03958392,0.89637,0.00003281054,0.00003602014,0.00007361596,0.004300514],"genre_scores_gemma":[0.0003958101,0.05647283,0.0004274825,0.01845629,0.9139615,0.00003695989,0.00002701734,0.00003492568,0.01018723],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01870049,"threshold_uncertainty_score":0.04986495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07600097287857117,"score_gpt":0.5320021461228115,"score_spread":0.4560011732442403,"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."}}