{"id":"W2331698268","doi":"10.5465/ambpp.2014.11571abstract","title":"Organizational Learning Capacity and Health Literacy in Acute Care Hospitals","year":2014,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Knowledge management; Construct (python library); Organizational learning; Acute care; Absorptive capacity; Best practice; Process (computing); Literacy; Intervention (counseling); Nursing; Health literacy; Business; Psychology; Medicine; Computer science; Political science; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003065418,0.0001412323,0.0003767417,0.0005668293,0.000160113,0.0002496216,0.000485093,0.00006484739,0.00005694659],"category_scores_gemma":[0.0003640678,0.0001176083,0.00004302212,0.001038644,0.00005454231,0.0005247627,0.0004358386,0.0002125185,0.00002485684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004821569,"about_ca_system_score_gemma":0.000007332096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001524433,"about_ca_topic_score_gemma":0.000001008184,"domain_scores_codex":[0.9971909,0.00004214482,0.0008571165,0.0005318626,0.001129164,0.0002488299],"domain_scores_gemma":[0.998923,0.0001785838,0.0005207587,0.00007676554,0.0002062473,0.00009466234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001516488,0.00002164718,0.3880236,0.0001928283,0.0000281117,7.143246e-7,0.007086126,0.00003772007,0.00007499608,0.449782,0.005159502,0.1495777],"study_design_scores_gemma":[0.0008119755,0.0001279963,0.7706757,0.0003016869,0.00001217133,0.000008186676,0.003859669,0.003539287,0.00007429264,0.1640701,0.05626345,0.0002554391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977094,0.000668383,0.001993024,0.00303789,0.00007797909,0.0004431484,0.000002591635,0.00005056345,0.01663245],"genre_scores_gemma":[0.9932728,0.00004662027,0.005127581,0.0005517366,0.00004965166,0.000007843015,7.133694e-7,0.00001166777,0.0009314207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3826522,"threshold_uncertainty_score":0.4795926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06658379450908783,"score_gpt":0.3750343315498034,"score_spread":0.3084505370407156,"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."}}