{"id":"W1899859077","doi":"10.1111/j.1365-2753.2010.01529.x","title":"Making sense of polarities in health organizations for policy and leadership","year":2010,"lang":"en","type":"editorial","venue":"Journal of Evaluation in Clinical Practice","topic":"Organizational Change and Leadership","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"","keywords":"Schema (genetic algorithms); Public relations; Health care; Complex adaptive system; Context (archaeology); Health policy; Common sense; Sociology; Knowledge management; Psychology; Political science; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01518448,0.003534744,0.002778806,0.003258605,0.007282097,0.01639665,0.003284834,0.01922776,0.003870137],"category_scores_gemma":[0.03850863,0.0009366464,0.001920594,0.002322317,0.01598154,0.01023153,0.003340774,0.02875883,0.002207973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00697755,"about_ca_system_score_gemma":0.006630951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398116,"about_ca_topic_score_gemma":0.01134361,"domain_scores_codex":[0.9908761,0.003947899,0.0009127089,0.0007272513,0.00314615,0.0003898595],"domain_scores_gemma":[0.9532722,0.03734719,0.001141766,0.0009410144,0.005112917,0.002184839],"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":[0.00001986111,0.00001354689,0.00004528433,0.0002700048,0.00001145964,0.0001039273,0.0003645736,0.00007360418,0.00003013422,0.005828016,0.9866121,0.006627448],"study_design_scores_gemma":[0.00004339716,0.00002324944,0.0004556803,0.0016341,0.00003420749,0.0002789692,0.001047069,0.0003131809,0.00008152689,0.0150932,0.9809613,0.00003402555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008727344,0.01514005,0.0004145947,0.1001758,0.8820029,0.00001571365,0.00002839638,0.00003937498,0.002095863],"genre_scores_gemma":[0.003614096,0.0132692,0.0005626748,0.03263892,0.9414763,0.00005892821,0.00002259997,0.00005629161,0.008300903],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01922776,"threshold_uncertainty_score":0.08030415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3151359254794814,"score_gpt":0.4974287978441908,"score_spread":0.1822928723647093,"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."}}