{"id":"W2157133393","doi":"10.1016/j.apmr.2008.08.137","title":"Poster 34: Development of an Encouraged-Use Aerobic Training Model to Maximize Paretic Limb Use After Stroke","year":2008,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cardiorespiratory fitness; Physical medicine and rehabilitation; Rehabilitation; Stroke (engine); Physical therapy; Rating of perceived exertion; Medicine; Aerobic exercise; Psychological intervention; Heart rate; Psychology; Blood pressure","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":[0.0005259695,0.0005040346,0.00036055,0.0002108145,0.0003089227,0.0003484655,0.0007532258,0.0005485718,0.01101743],"category_scores_gemma":[0.0003702129,0.0001856512,0.000549293,0.00008791643,0.000169305,0.0003949519,0.0005332939,0.0007904423,0.001802144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846107,"about_ca_system_score_gemma":0.00078811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006415573,"about_ca_topic_score_gemma":0.001555958,"domain_scores_codex":[0.9998766,0.00002189431,0.000008638033,0.00002758475,0.00003750395,0.00002778289],"domain_scores_gemma":[0.999893,0.00001447856,0.000009949611,0.00001080667,0.00002263714,0.00004916932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0141921,0.08016188,0.004471749,0.001047298,0.0003284087,0.0002753727,0.0007623114,0.01306003,0.4369389,0.002343487,0.01369248,0.432726],"study_design_scores_gemma":[0.01238807,0.3121683,0.0833607,0.0007742719,0.001409745,0.001066637,0.0006931668,0.09792677,0.4141813,0.004068378,0.07167576,0.0002869835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365685,0.0003403333,0.04318339,0.001400369,0.0005497032,0.002310567,0.0005920118,0.0007343693,0.0143207],"genre_scores_gemma":[0.8828341,0.001101182,0.0746908,0.000462528,0.000165361,0.003583956,0.0006069978,0.0001294237,0.03642575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101743,"threshold_uncertainty_score":0.03685701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023418664764038,"score_gpt":0.2907069969499358,"score_spread":0.2504728103022954,"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."}}