{"id":"W2883728254","doi":"10.1186/s12961-018-0344-7","title":"Embedded health service development and research: why and how to do it (a ten-stage guide)","year":2018,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"University of Leeds; Department for International Development; Department for International Development, UK Government; Government of the United Kingdom","keywords":"Health services research; Context (archaeology); Health administration; Health policy; Health care; Process management; Service (business); Business; Best practice; Health informatics; Scale (ratio); Resource (disambiguation); Public relations; Marketing; Computer science; Economic growth; Economics; Political science; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.04626485,0.0003515868,0.001027644,0.001706414,0.008495196,0.000294927,0.0004393115,0.0003729004,0.00005877504],"category_scores_gemma":[0.003317035,0.0002925068,0.0000263768,0.00197678,0.00043952,0.0002930488,0.001285084,0.002095996,0.0002743975],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002786569,"about_ca_system_score_gemma":0.02198316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05559218,"about_ca_topic_score_gemma":0.02495833,"domain_scores_codex":[0.9813849,0.009912816,0.001376537,0.001079726,0.001999333,0.004246738],"domain_scores_gemma":[0.9884633,0.003978603,0.0003070504,0.0008905932,0.002489119,0.00387138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001671122,0.00004038345,0.004947015,0.01236649,0.00002764695,0.00001030044,0.0723884,1.250008e-7,0.00002102627,0.0191283,0.8750369,0.01586633],"study_design_scores_gemma":[0.0009878627,0.0009071465,0.01014479,0.001299842,0.000001066756,0.00001728083,0.03750999,0.00005883105,0.000004678224,0.0002268747,0.9486207,0.0002209877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07503789,0.009444245,0.0001622699,0.8875688,0.0006332283,0.00781757,0.0001747591,0.0001499646,0.01901124],"genre_scores_gemma":[0.2925466,0.01945496,0.00434525,0.547572,0.009297991,0.003474057,0.00009984347,0.0003031165,0.1229062],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3399968,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6246091577337282,"score_gpt":0.6349427709093113,"score_spread":0.01033361317558312,"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."}}