{"id":"W2277780321","doi":"10.1186/s12911-016-0262-y","title":"Ready, Set, Change! Development and usability testing of an online readiness for change decision support tool for healthcare organizations","year":2016,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"University of Toronto","keywords":"Usability; Delphi method; Computer science; Stakeholder; Decision support system; Process management; Process (computing); Health care; Knowledge management; Health informatics; Clinical decision support system; Set (abstract data type); Human–computer interaction; Engineering; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04019046,0.001453079,0.0008814428,0.003398232,0.001101443,0.002672057,0.001893117,0.001409193,0.003050245],"category_scores_gemma":[0.08879378,0.001155309,0.002133265,0.001410335,0.0009725991,0.004053591,0.002815566,0.001429123,0.0008861038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338542,"about_ca_system_score_gemma":0.004012132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009896462,"about_ca_topic_score_gemma":0.001832559,"domain_scores_codex":[0.9776683,0.01477112,0.002987497,0.001025207,0.002741299,0.0008066646],"domain_scores_gemma":[0.9344586,0.05029509,0.001775995,0.00395772,0.008407609,0.001104903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001567323,0.008573626,0.0202412,0.009693507,0.0003946347,0.001296856,0.0371055,0.005762857,0.02414016,0.002838867,0.01623625,0.8721492],"study_design_scores_gemma":[0.009136281,0.07878118,0.2509963,0.02009179,0.002480295,0.005795064,0.06649577,0.1329353,0.1340474,0.0165336,0.2796341,0.003072976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7481818,0.0005392606,0.1787555,0.001787705,0.0003471723,0.05470351,0.002297921,0.007092092,0.006295054],"genre_scores_gemma":[0.263208,0.0003836944,0.6940051,0.0007434202,0.00005219823,0.03696437,0.002211252,0.0006734749,0.001758475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04019046,"threshold_uncertainty_score":0.21255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6989963951805572,"score_gpt":0.6314833405321355,"score_spread":0.06751305464842172,"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."}}