{"id":"W3148301454","doi":"10.34105/j.kmel.2020.12.020","title":"Editorial: Visualizing user experience and stories: From customer journeys to patient experience mapping","year":2020,"lang":"en","type":"editorial","venue":"Knowledge Management & E-Learning An International Journal","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Variety (cybernetics); Identification (biology); Health care; Process (computing); Healthcare system; Data science; Patient experience; Computer science; Knowledge management; Psychology; Artificial intelligence; Political science","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":[0.006581272,0.003553557,0.0035005,0.005379312,0.004975128,0.01162608,0.004282389,0.01619456,0.01320378],"category_scores_gemma":[0.03155762,0.001245446,0.002727614,0.002259018,0.003728223,0.005626484,0.00250258,0.01575571,0.009032866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439067,"about_ca_system_score_gemma":0.002704621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052346,"about_ca_topic_score_gemma":0.004880535,"domain_scores_codex":[0.9944984,0.001012686,0.0006122218,0.0006291425,0.002941731,0.0003058241],"domain_scores_gemma":[0.9603703,0.02218729,0.001534997,0.0007334034,0.01153966,0.0036344],"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":[0.00002588529,0.00001595385,0.00003028664,0.0001910283,0.00001000142,0.0001659998,0.00003636703,0.00002696865,0.00004238284,0.0001753113,0.9943773,0.004902584],"study_design_scores_gemma":[0.0000564414,0.00006087089,0.0003521907,0.0008459831,0.00005104787,0.0009124366,0.0002306668,0.0003157026,0.0001619092,0.001066211,0.9959125,0.00003391703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006804641,0.002246751,0.0002446802,0.02039804,0.9756277,0.00003778446,0.0000513464,0.0001008488,0.001224735],"genre_scores_gemma":[0.000462266,0.003133124,0.0001731101,0.008057021,0.9841759,0.00004301235,0.0000340943,0.00005623617,0.003865277],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01619456,"threshold_uncertainty_score":0.04417104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024126547338637,"score_gpt":0.4474775558074132,"score_spread":0.3450649010735495,"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."}}