{"id":"W1895979718","doi":"","title":"Development and implementation of the Daily Physical Activity policy in Ontario, Canada: A retrospective analysis","year":2014,"lang":"en","type":"article","venue":"Revue phénEPS / PHEnex Journal","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Ontario","funders":"","keywords":"Flexibility (engineering); Context (archaeology); Politics; Physical activity; Policy analysis; Policy development; Political science; Public relations; Public administration; Process management; Medicine; Business; Management; Physical medicine and rehabilitation; Economics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007511366,0.0001157016,0.0003687374,0.0002030415,0.0001923446,0.00005131498,0.0001648965,0.00003186005,0.00003735598],"category_scores_gemma":[0.0001813636,0.00008625102,0.00007716714,0.0006911336,0.00003150912,0.0002624376,0.0001279939,0.0002708464,8.979729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185753,"about_ca_system_score_gemma":0.0006689429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754397,"about_ca_topic_score_gemma":0.9923314,"domain_scores_codex":[0.9989351,0.00005600593,0.0003318434,0.0001541224,0.0001836209,0.0003392782],"domain_scores_gemma":[0.9992137,0.00004676247,0.0004781112,0.0001291403,0.00009819485,0.00003406627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001516057,0.00005452941,0.9648001,0.00006361571,0.0001561504,0.000001428991,0.0006803676,0.0007482267,0.00005797859,0.01868222,0.005314345,0.009425853],"study_design_scores_gemma":[0.0003070587,0.000005539502,0.9300891,0.00001492979,0.00005817733,0.000004394412,0.0003148237,0.002353359,0.00001160937,0.001313566,0.06544624,0.00008121557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851869,0.000006930491,0.0001101661,0.01228584,0.0001270316,0.0000978383,0.00000154987,0.000003844845,0.002179859],"genre_scores_gemma":[0.9971731,0.000003635745,0.00009486572,0.002107303,0.0005774078,0.000004783979,0.000002378718,0.000005782066,0.00003071162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0601319,"threshold_uncertainty_score":0.3517214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075641000687331,"score_gpt":0.2879942825699771,"score_spread":0.2672378725631037,"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."}}