{"id":"W2117987958","doi":"10.1002/jhrm.5600250204","title":"Essential reading on disclosing medical harm. Medical errors and medical narcissism.<i>John Banja, Publisher: Jones and Bartlett Publishers, Inc., Sudbury, MA; 229 pages; $49.95</i>","year":2005,"lang":"en","type":"article","venue":"Journal of Healthcare Risk Management","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Harm; Citation; Reading (process); Medical library; Library science; Psychology; Computer science; Law; Political science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01145258,0.0006178541,0.001059371,0.0005529418,0.001018029,0.0003305375,0.001029064,0.001862791,0.003519785],"category_scores_gemma":[0.00166186,0.0005135377,0.0002202475,0.00049538,0.0008384296,0.001270956,0.0007036594,0.008826812,0.00004151776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003860383,"about_ca_system_score_gemma":0.0007790222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234954,"about_ca_topic_score_gemma":0.0003142265,"domain_scores_codex":[0.9895286,0.002696142,0.002175628,0.0008061118,0.003336622,0.001456906],"domain_scores_gemma":[0.9917132,0.001263714,0.0009115867,0.0003657175,0.0003450531,0.005400788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001595835,0.001022652,0.03009679,0.001105755,0.0008066627,0.003896945,0.0009051937,0.00003747678,0.00001299188,0.004281875,0.343172,0.6130658],"study_design_scores_gemma":[0.006316149,0.0007854843,0.007764183,0.001165687,0.0005570223,0.001581828,0.00185073,0.00541855,0.0001535694,0.001056902,0.9726468,0.0007030695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.363772,0.01943711,0.000210771,0.6056088,0.005297312,0.0009405331,0.00005734377,0.0001424348,0.004533711],"genre_scores_gemma":[0.891221,0.06369221,0.0004745523,0.04033455,0.003788559,0.00003061672,0.00003345272,0.00007753177,0.0003475611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6294749,"threshold_uncertainty_score":0.9997316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332615652601118,"score_gpt":0.4757463250392944,"score_spread":0.3424847597791826,"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."}}