{"id":"W2780479532","doi":"10.19044/esj.2017.v13n36p36","title":"The Association Between Organizational Characteristics and Strategic Information Systems Planning: A Study of U.S. Hospitals","year":2017,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Strategic information system; Information system; Business; Strategic planning; Health care; Analytics; Operations management; Knowledge management; Management information systems; Computer science; Marketing; Database; Engineering; 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":[0.002332933,0.0002251884,0.0002793038,0.001548429,0.0009667395,0.001349415,0.0004803632,0.0006323113,0.002571416],"category_scores_gemma":[0.01095928,0.0003924034,0.0005041148,0.003075202,0.0008395723,0.001250797,0.001321878,0.001064677,0.0003347471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285809,"about_ca_system_score_gemma":0.001892729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02406779,"about_ca_topic_score_gemma":0.02627306,"domain_scores_codex":[0.9973616,0.001228118,0.0002642353,0.0002198859,0.000420459,0.000505789],"domain_scores_gemma":[0.985149,0.004758211,0.005889199,0.0005809633,0.001142473,0.002480151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003375294,0.0000789648,0.9984277,0.000005268364,0.00002285518,0.0000280307,0.0004680221,0.00002227538,0.00001968784,0.00002150394,0.0001040231,0.0007679793],"study_design_scores_gemma":[0.000005754922,0.0001433152,0.9955824,0.00001579705,0.00001173328,0.0000689717,0.00373549,0.0001525486,0.00001913694,0.00002204422,0.0002374787,0.00000525005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994465,0.00008225958,0.00002286916,0.000161111,0.000002774445,0.000005076759,0.00006625671,7.167769e-7,0.0002125556],"genre_scores_gemma":[0.9996278,0.00006326019,0.00002531449,0.00008983398,0.000005434967,0.000007184885,0.0001081848,0.000001034954,0.00007189961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02406779,"threshold_uncertainty_score":0.04785538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06953199204788085,"score_gpt":0.3844491937340132,"score_spread":0.3149172016861324,"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."}}