{"id":"W3009673571","doi":"10.3233/shti200003","title":"Every Step Counts: Understanding the Success of Implementing The 10,000 Steps Project","year":2020,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pedometer; Physical activity; Intervention (counseling); Health promotion; Population; Government (linguistics); Promotion (chess); Psychology; Medical education; Medicine; Physical therapy; Public health; Environmental health; Nursing; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00171793,0.0001017612,0.0002962246,0.0001403494,0.001456296,0.000002939775,0.0002258534,0.0001222066,0.0000388777],"category_scores_gemma":[0.0004390258,0.00005955733,0.00001618084,0.000808934,0.0003870996,0.00006970528,0.0002738808,0.0006826493,0.00001766674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584001,"about_ca_system_score_gemma":0.0004574553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006194234,"about_ca_topic_score_gemma":0.0001124909,"domain_scores_codex":[0.9979232,0.0001416667,0.001192813,0.0000907206,0.0001281134,0.00052348],"domain_scores_gemma":[0.9982815,0.0007150473,0.0006241475,0.0002366988,0.00009401116,0.00004863582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007596484,0.00003091549,0.07363705,0.01607775,0.00008588778,5.282706e-7,0.05086637,0.000007827375,3.684943e-7,0.6148367,0.2001896,0.04419108],"study_design_scores_gemma":[0.0005743614,0.0001489187,0.001136671,0.0003711932,0.00001099034,0.000002047512,0.2846816,0.001433644,8.469419e-7,0.004034176,0.7075233,0.00008230242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0980319,0.08393852,0.02461991,0.5735065,0.003524939,0.04882861,0.0006199293,0.001386139,0.1655436],"genre_scores_gemma":[0.9501559,0.02589096,0.001140201,0.01946615,0.0001325327,0.002943419,0.00001199337,0.00001941099,0.0002394145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.852124,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077564332000978,"score_gpt":0.4894332578987599,"score_spread":0.2816768246986621,"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."}}