{"id":"W2185682280","doi":"10.56421/ujslcbr.v3i0.151","title":"The Creation and Implementation of an Electronic Exercise Prescription at an Ontario Family Health Team","year":2014,"lang":"en","type":"article","venue":"Undergraduate Journal of Service Learning & Community-Based Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Kinesiology; Overweight; Gerontology; Health promotion; Obesity; Medicine; Promotion (chess); Medical prescription; Guideline; Disease prevention; Disease; Physical activity; Family medicine; Physical therapy; Public health; Nursing; Environmental health; Internal medicine; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0098621,0.0001306121,0.0003916513,0.0002841866,0.002032662,0.00007730161,0.0002819427,0.00006960914,0.000009488598],"category_scores_gemma":[0.00009378563,0.00009850984,0.00005933931,0.000376487,0.000139536,0.0003218345,0.0000895443,0.003457473,0.000002376529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009631658,"about_ca_system_score_gemma":0.001591518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1060769,"about_ca_topic_score_gemma":0.2219792,"domain_scores_codex":[0.9930567,0.004891796,0.000514203,0.0001268264,0.0009097523,0.0005007364],"domain_scores_gemma":[0.9968987,0.000917827,0.0005048049,0.0004044163,0.0009325765,0.0003417351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02796164,0.0135496,0.134496,0.007550072,0.0005754895,0.00001471798,0.1065703,0.01275251,0.2005216,0.006451775,0.001305199,0.4882511],"study_design_scores_gemma":[0.01485584,0.08012141,0.7672237,0.002568607,0.0002977888,0.0001480684,0.03892463,0.03504662,0.01021764,0.02423508,0.02586568,0.0004949489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825187,0.0001270635,0.0002550484,0.01650496,0.00002299887,0.0003670089,0.00000114108,0.00001508541,0.0001879938],"genre_scores_gemma":[0.9982911,0.0005643232,0.0002788256,0.0006029314,0.00007014657,0.00000653118,0.00006952381,0.00002202809,0.00009464006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6327277,"threshold_uncertainty_score":0.9992666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0961934159728424,"score_gpt":0.4152750012387396,"score_spread":0.3190815852658972,"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."}}