{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006571956,0.0003754388,0.0003197269,0.001484485,0.004751088,0.001618547,0.001822399,0.0009573806,0.02072959],"category_scores_gemma":[0.01460367,0.0005651526,0.0009255317,0.001228637,0.0007774053,0.001086747,0.002775795,0.001254169,0.003307416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01315772,"about_ca_system_score_gemma":0.07459679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6757819,"about_ca_topic_score_gemma":0.8472456,"domain_scores_codex":[0.995204,0.001415851,0.0003312853,0.000484571,0.001963409,0.000600916],"domain_scores_gemma":[0.9861996,0.001523768,0.0008762263,0.001160303,0.005069915,0.005170167],"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":[0.0005579228,0.003174815,0.06874524,0.0005979827,0.00009096052,0.001107517,0.008032553,0.0007778645,0.004117745,0.001531111,0.1330972,0.7781692],"study_design_scores_gemma":[0.001057613,0.002251921,0.3564517,0.00130215,0.000245118,0.0005808737,0.009048384,0.005495274,0.002493082,0.001258485,0.6194705,0.0003448393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4453457,0.002731598,0.07516841,0.08083355,0.004424836,0.03321998,0.009842862,0.006379835,0.3420533],"genre_scores_gemma":[0.5608913,0.003733949,0.2670458,0.01287035,0.0007488612,0.01193558,0.004367696,0.0005218745,0.1378846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6757819,"threshold_uncertainty_score":0.6522549,"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."}}