{"id":"W4309326125","doi":"10.2196/preprints.44254","title":"Implementing an Activity Tracker to Increase Motivation for Physical Activity in Patients With Diabetes in Primary Care: Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Thematic analysis; Psychological intervention; Context (archaeology); Health care; Intervention (counseling); Medicine; Qualitative research; Psychology; Nursing; Family medicine; Medical education; Business; Marketing; Sociology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0200444,0.000428925,0.0008735582,0.001585834,0.00120057,0.001429233,0.0005994596,0.0004343458,0.001971172],"category_scores_gemma":[0.02394117,0.000383644,0.002063392,0.002325756,0.0006175584,0.001103596,0.00148965,0.0006166897,0.0002232965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003244251,"about_ca_system_score_gemma":0.008260555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01706379,"about_ca_topic_score_gemma":0.04350558,"domain_scores_codex":[0.990145,0.00504202,0.001379978,0.0003527774,0.002441808,0.0006385248],"domain_scores_gemma":[0.9709355,0.01360898,0.004391988,0.0009350774,0.009195744,0.00093263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001776265,0.001464584,0.853133,0.002289393,0.0006852537,0.0001237318,0.0121402,0.0003435005,0.0006683369,0.0002100678,0.002212138,0.1249536],"study_design_scores_gemma":[0.0002857901,0.007970499,0.9693143,0.0006523043,0.0007112115,0.00007127079,0.01639563,0.001111942,0.001060155,0.0001297571,0.002252409,0.00004462526],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993919,0.0003293405,0.001136022,0.0005264187,0.00005001886,0.002247721,0.0005910625,0.00001269451,0.001187825],"genre_scores_gemma":[0.990827,0.0004333581,0.004889264,0.0003472324,0.00002620829,0.002432097,0.0004503348,0.000006545765,0.0005880291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200444,"threshold_uncertainty_score":0.1060062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961633510359428,"score_gpt":0.4002387770520701,"score_spread":0.3406224419484758,"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."}}