{"id":"W3178892208","doi":"10.2196/28075","title":"Scoping the Need for a Tailored mHealth App to Improve Health and Well-being Behavioral Transformation in the Police: Exploring the Views of UK Police Workers via Web-Based Surveys and Client Meetings","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bournemouth University","keywords":"Officer; Mental health; mHealth; Work (physics); Psychology; Public relations; Nursing; Engineering; Medicine; Political science; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0301954,0.000717595,0.00191472,0.004603109,0.004395918,0.009302715,0.002262427,0.005028798,0.005623974],"category_scores_gemma":[0.1002255,0.0009878846,0.002695002,0.003856976,0.003270115,0.008747323,0.008021113,0.003517485,0.001404847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005004744,"about_ca_system_score_gemma":0.0164341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256759,"about_ca_topic_score_gemma":0.02312591,"domain_scores_codex":[0.9798607,0.01163325,0.003766389,0.0007046473,0.003009853,0.001025219],"domain_scores_gemma":[0.9359119,0.04705077,0.007219427,0.001959219,0.006493118,0.001365556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003073501,0.0003526798,0.01362084,0.1422762,0.0006534074,0.001678127,0.3437021,0.0003634203,0.003637351,0.002114684,0.03062964,0.4606642],"study_design_scores_gemma":[0.0001330818,0.001008076,0.02488085,0.4108478,0.001143726,0.001798657,0.4112881,0.000509061,0.001228926,0.003483708,0.1435148,0.0001631675],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5057218,0.2860333,0.01287732,0.116682,0.005982731,0.01817966,0.002771253,0.0005279218,0.05122401],"genre_scores_gemma":[0.5960665,0.273724,0.03658186,0.05227567,0.001410064,0.02382027,0.001830956,0.0003760452,0.01391462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0301954,"threshold_uncertainty_score":0.1596904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1980714425725573,"score_gpt":0.506658858742225,"score_spread":0.3085874161696677,"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."}}