{"id":"W2557938468","doi":"10.1136/medethics-2016-103658","title":"Highlights in bioethics through 40 years: a quantitative analysis of top-cited journal articles","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioethics; Publishing; Mainstream; Bibliometrics; Social science; Medicine; Political science; Library science; Sociology; Law; Computer science","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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07310236,0.0001390036,0.0008982423,0.001614621,0.00009490771,0.0003688094,0.003120886,0.001282163,0.0008763498],"category_scores_gemma":[0.227901,0.00006909848,0.0004175978,0.004456954,0.001128789,0.001998944,0.0002549215,0.004950427,0.00001978347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011118,"about_ca_system_score_gemma":0.002354483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408401,"about_ca_topic_score_gemma":0.0005720367,"domain_scores_codex":[0.9815358,0.002068591,0.002718994,0.0002469445,0.01310055,0.0003290963],"domain_scores_gemma":[0.9644247,0.02889078,0.002532434,0.0003510965,0.003298418,0.0005025844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001965282,0.001315706,0.1165095,0.00005960949,0.003808727,0.002341767,0.1456493,0.0007850988,0.001828515,0.5389638,0.06429108,0.1224817],"study_design_scores_gemma":[0.007369556,0.001239326,0.147667,0.003709488,0.001211846,0.0005890977,0.03885449,0.005890796,0.002580761,0.6853462,0.1047532,0.000788155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6968146,0.00083974,0.04788343,0.2532086,0.0008923714,0.00004066493,0.00001154409,0.000005671674,0.0003033801],"genre_scores_gemma":[0.9902142,0.003643718,0.003478274,0.002260237,0.0002753999,4.087327e-7,3.32001e-7,0.000007814781,0.0001196212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2933996,"threshold_uncertainty_score":0.9973452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.311173576527714,"score_gpt":0.5307679666370625,"score_spread":0.2195943901093485,"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."}}