{"id":"W3010596891","doi":"10.37191/mapsci-2582-4333-2(3)-033","title":"Health Promotion - Application in Occupational Health: Case of Cameroon in Rural Settings","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical and Medical Research","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health promotion; Retraining; Charter; Economic shortage; Context (archaeology); Promotion (chess); Business; Isolation (microbiology); Rural area; Nursing; Health education; Health professionals; Economic growth; Medicine; Public relations; Health care; Environmental health; Political science; Public health; Politics; Geography; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06253561,0.00007064268,0.0007606567,0.0002057466,0.0001859898,0.000004958997,0.000144594,0.0002850125,0.0001311407],"category_scores_gemma":[0.03230644,0.00005098908,0.0000600001,0.0005356233,0.0001731083,0.0001612204,0.00009550538,0.003820743,0.00001050206],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033502,"about_ca_system_score_gemma":0.006563289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007241901,"about_ca_topic_score_gemma":0.004430697,"domain_scores_codex":[0.984713,0.009469392,0.00381291,0.0001839686,0.00130321,0.0005175801],"domain_scores_gemma":[0.9884034,0.008310473,0.001344025,0.00009739428,0.0005315846,0.001313143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007041972,0.0003203724,0.4145828,0.001567465,0.000007748855,0.000161264,0.003475305,6.129196e-7,0.000003509643,0.0007162172,0.004564372,0.5738962],"study_design_scores_gemma":[0.009171017,0.009067683,0.7522337,0.008039265,0.000005268088,0.0004909254,0.02245758,0.005864928,0.000002410224,0.001785291,0.1907032,0.0001787482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641425,0.0007184707,0.0002158523,0.3341021,0.0001529789,0.0005497542,0.000006551195,0.000002771065,0.0001089921],"genre_scores_gemma":[0.9929662,0.002319414,0.0003201831,0.003447173,0.000895427,0.00001864827,0.000004070459,0.000007335575,0.00002160031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5737174,"threshold_uncertainty_score":0.999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6032053490201555,"score_gpt":0.7236243386793557,"score_spread":0.1204189896592002,"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."}}