{"id":"W4407421316","doi":"10.2196/54484","title":"Knowledge Sharing Maturity Model for Medical Imaging Departments: Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Maturity (psychological); Capability Maturity Model; Computer science; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001090349,0.0001778202,0.0002175628,0.0002602921,0.001551512,0.0002521702,0.0007184497,0.00007563356,0.0001669388],"category_scores_gemma":[0.0001377164,0.0001722015,0.00008474001,0.0002692872,0.00008281701,0.0002453428,0.0004682675,0.0001585274,0.00002339723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404059,"about_ca_system_score_gemma":0.0002196138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006944873,"about_ca_topic_score_gemma":0.006399795,"domain_scores_codex":[0.9982685,0.00005489506,0.0003447875,0.0004281928,0.0004288004,0.0004748437],"domain_scores_gemma":[0.9994113,0.00008027266,0.00006019096,0.0002072455,0.0000925246,0.0001485011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001383236,0.001217772,0.8004985,0.0001287033,0.0001618424,0.000004635398,0.1365561,0.000007520513,0.000009657116,0.04368148,0.006779682,0.01094021],"study_design_scores_gemma":[0.00663265,0.00008576662,0.4690485,0.0005933584,0.0002646368,1.460825e-7,0.1009674,0.05710327,0.000249445,0.02346289,0.3393531,0.002238788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086171,0.00008479409,0.00213316,0.00009817527,0.0004307932,0.00145406,0.00000168901,0.0002515712,0.08692868],"genre_scores_gemma":[0.9767795,0.000001779916,0.00009584717,0.00004822232,0.0001002852,0.000306338,0.00001520269,0.00001438101,0.02263847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3325734,"threshold_uncertainty_score":0.9997483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06041851298223389,"score_gpt":0.4056204476423127,"score_spread":0.3452019346600788,"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."}}