{"id":"W2942981167","doi":"10.1016/j.socscimed.2019.04.020","title":"Conceptual analysis of health systems resilience: A scoping review","year":2019,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":184,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Conceptualization; CLARITY; Context (archaeology); Resilience (materials science); Management science; Data science; Computer science; Geography; Engineering; 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":[0.01869269,0.001841847,0.004709843,0.01837893,0.001298981,0.006461616,0.002868132,0.003524897,0.004275612],"category_scores_gemma":[0.05222869,0.001198329,0.004267148,0.01611067,0.003431575,0.006276838,0.004244875,0.003502089,0.0004925144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006818308,"about_ca_system_score_gemma":0.0266493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123404,"about_ca_topic_score_gemma":0.02588278,"domain_scores_codex":[0.9936738,0.002522272,0.001707505,0.0006349733,0.001198639,0.0002627538],"domain_scores_gemma":[0.9537099,0.03963859,0.003085052,0.0006309372,0.00253075,0.0004047783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009214336,0.00007886416,0.0008836143,0.6230763,0.002301631,0.0001610649,0.001506276,0.0005822399,0.0002126435,0.01370387,0.007553673,0.3498477],"study_design_scores_gemma":[0.00002894372,0.00005864612,0.001410043,0.8913475,0.00511108,0.000339041,0.001411416,0.0001833313,0.0001060101,0.006494137,0.09346875,0.00004108157],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001210193,0.9986902,0.0002291686,0.0005599155,0.0000900991,0.00003988865,0.00003454535,0.000002443935,0.0002327538],"genre_scores_gemma":[0.002278753,0.9964991,0.0006028606,0.000393942,0.00005998718,0.00007598791,0.00003864282,0.000001959854,0.00004867769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01869269,"threshold_uncertainty_score":0.09885758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.288190712867983,"score_gpt":0.5930307353597417,"score_spread":0.3048400224917587,"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."}}