{"id":"W4283725736","doi":"10.3233/shti220689","title":"An Evaluation Guide and Decision Support Tool for Journey Maps in Healthcare and Beyond","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Blueprint; Visualization; Road map; Mental mapping; Concept map; Cognitive map; Mind map; Stakeholder; Service (business); Field (mathematics); Computer science; Function (biology); Data science; Knowledge management; Cartography; Geography; Engineering; Artificial intelligence; Psychology; Cognition; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02230577,0.001691994,0.001152291,0.00810633,0.001832581,0.005862389,0.002570037,0.001591696,0.02612169],"category_scores_gemma":[0.05649025,0.0007406224,0.001326058,0.006327282,0.001031578,0.004182168,0.004032395,0.001748205,0.00592348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004465447,"about_ca_system_score_gemma":0.01123238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939485,"about_ca_topic_score_gemma":0.01140268,"domain_scores_codex":[0.9830771,0.01055966,0.002109214,0.000420476,0.003432428,0.0004011214],"domain_scores_gemma":[0.9520223,0.03107514,0.001561209,0.002375155,0.01194412,0.001022137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003586945,0.001044777,0.002319939,0.004953732,0.0000817843,0.001002308,0.01417037,0.0101588,0.003495558,0.04571385,0.2420114,0.6746888],"study_design_scores_gemma":[0.0004084875,0.0009603801,0.004028755,0.00783635,0.0001277805,0.0006781358,0.01592278,0.03132259,0.007739878,0.04207884,0.8886357,0.0002602933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02700975,0.001146113,0.7984039,0.008249531,0.0006608325,0.02425365,0.02227597,0.02329909,0.09470119],"genre_scores_gemma":[0.01591458,0.0004702323,0.9641097,0.0002740043,0.00001837969,0.0091932,0.002806954,0.0008052061,0.006407653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02612169,"threshold_uncertainty_score":0.1179656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06631591057627317,"score_gpt":0.3858326799842774,"score_spread":0.3195167694080042,"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."}}