{"id":"W2094769009","doi":"10.1016/j.ijmedinf.2013.04.001","title":"Antecedents of open source software adoption in health care organizations: A qualitative survey of experts in Canada","year":2013,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"CLARITY; Knowledge management; Public relations; Open source software; Consistency (knowledge bases); Health care; Qualitative research; Diffusion of innovations; Business; Conceptual framework; Conceptual model; Psychology; Software; Sociology; Marketing; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002080653,0.00009480327,0.0003480009,0.0004460931,0.00002049807,0.0000944856,0.002786901,0.00006091465,0.00009262373],"category_scores_gemma":[0.004380504,0.00008460048,0.00002367574,0.001064453,0.00005280329,0.001487383,0.0005675712,0.0002545169,0.000002092171],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007521292,"about_ca_system_score_gemma":0.005815262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.615779,"about_ca_topic_score_gemma":0.3761407,"domain_scores_codex":[0.9953182,0.0002636208,0.002264946,0.00006594117,0.001937184,0.0001501174],"domain_scores_gemma":[0.9942646,0.0006810246,0.001586855,0.0001707018,0.003174931,0.0001219059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006465556,0.0006271883,0.4344518,0.0003477446,0.0002295121,0.0000339964,0.3850149,0.009169216,0.00001154868,0.003810536,0.01160663,0.1546324],"study_design_scores_gemma":[0.009465029,0.000661299,0.6145671,0.007559224,0.000008206658,0.0003108362,0.2758327,0.08672457,0.0005488672,0.00185752,0.001677481,0.0007872449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344114,0.00009828611,0.4621282,0.002525813,0.0004832139,0.0002723631,0.00003078516,0.000005751939,0.00004422186],"genre_scores_gemma":[0.9566059,0.00005108,0.04244286,0.000841178,0.00001437848,0.000004697452,0.00002725437,0.000006414193,0.000006227668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221945,"threshold_uncertainty_score":0.9998208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107464125786326,"score_gpt":0.3684698870370112,"score_spread":0.3373952457791479,"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."}}