{"id":"W4380135904","doi":"10.32598/jams.25.3.6669.1","title":"Identification and Prioritization of Factors Affecting Knowledge Concealment By Managers in Guilan University of Medical Sciences by AHP Hierarchical Method","year":2022,"lang":"en","type":"article","venue":"Journal of Arak University of Medical Sciences","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Snowball sampling; Interview; Analytic hierarchy process; Sample (material); Identification (biology); Nonprobability sampling; Confidentiality; Knowledge management; Field (mathematics); Computer science; Population; Psychology; Medicine; Operations research; Engineering; Sociology; Pathology","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":[0.01901446,0.0005465773,0.0006549519,0.007195076,0.002072264,0.002248196,0.0007557264,0.0005022896,0.002923409],"category_scores_gemma":[0.0328305,0.0003353348,0.0009626623,0.00459457,0.0009531857,0.001153126,0.001947426,0.0007554445,0.0001754773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053759,"about_ca_system_score_gemma":0.007602944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411764,"about_ca_topic_score_gemma":0.006361268,"domain_scores_codex":[0.9856693,0.008013956,0.00179967,0.0006967448,0.003094543,0.0007258742],"domain_scores_gemma":[0.9638872,0.02553595,0.003740493,0.0009047841,0.005097469,0.0008341472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002182225,0.001588786,0.2742566,0.006759759,0.0004237098,0.001527752,0.06014789,0.01155393,0.01021898,0.008777347,0.005372705,0.6171904],"study_design_scores_gemma":[0.0007785419,0.003448268,0.4949312,0.006710315,0.00134747,0.00142468,0.1584765,0.2215459,0.0360625,0.04266098,0.03199932,0.0006142666],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81515,0.0008716281,0.1613453,0.001918114,0.00008760014,0.01155177,0.001073647,0.0002281857,0.007773665],"genre_scores_gemma":[0.7693764,0.0004556571,0.2238843,0.0001638643,0.00004191236,0.004478788,0.0006447329,0.00001952745,0.0009349045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01901446,"threshold_uncertainty_score":0.1005593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030694207562217,"score_gpt":0.3374196722059716,"score_spread":0.2971127301303494,"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."}}