{"id":"W3093077895","doi":"10.1139/apnm-2020-0494","title":"Optimal messaging of the Canadian 24-Hour Movement Guidelines for Adults aged 18–64 years and Adults aged 65 years and older","year":2020,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Victoria; Canadian Society for Exercise Physiology; University of British Columbia; Queen's University","funders":"Canadian Institutes of Health Research; Queen's University; Public Health Agency; Public Health Agency of Canada","keywords":"Novelty; Guideline; Descriptive statistics; Socioeconomic status; Psychology; Population; Variety (cybernetics); Medicine; Medical education; Computer science; Social psychology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003170878,0.0001647408,0.0004017555,0.00007769516,0.0006482942,0.000006732539,0.0001117323,0.0002153369,0.00005178665],"category_scores_gemma":[0.00008032195,0.0001426335,0.00004397311,0.0001565146,0.0001427594,0.00003733157,0.00008154091,0.0003623063,0.000003973672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250291,"about_ca_system_score_gemma":0.0002545619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572075,"about_ca_topic_score_gemma":0.004194865,"domain_scores_codex":[0.9983057,0.0001391526,0.0005573969,0.0004179538,0.0001070215,0.0004727478],"domain_scores_gemma":[0.9987359,0.0001633728,0.0002499624,0.000204236,0.0001512748,0.0004952605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004015735,0.0007804018,0.004921374,0.01616403,0.0003945988,0.000004682688,0.0469735,0.0000588815,0.08752506,0.1330623,0.5259468,0.1801527],"study_design_scores_gemma":[0.01027734,0.00003277106,0.6296586,0.0002473995,0.00007944209,8.427683e-7,0.003864852,0.000262378,0.000176305,0.001945803,0.3532303,0.0002239799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823744,0.002431484,0.00005201019,0.009429264,0.0002222201,0.004997664,0.0002922268,0.00003917333,0.0001615063],"genre_scores_gemma":[0.9645784,0.003127767,0.00248438,0.02494999,0.0003824096,0.004287928,0.0001095437,0.00002700628,0.00005258911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6247372,"threshold_uncertainty_score":0.6911641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05126453560274885,"score_gpt":0.3621531744968261,"score_spread":0.3108886388940773,"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."}}