{"id":"W2088335634","doi":"10.1016/j.neubiorev.2010.10.009","title":"Is there a core neural network in empathy? An fMRI based quantitative meta-analysis","year":2010,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Empathy and Medical Education","field":"Medicine","cited_by":926,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft; Hope for Depression Research Foundation","keywords":"Empathy; Meta-analysis; Psychology; Neuroscience; Core (optical fiber); Cognitive psychology; Computer science; Medicine; Social psychology; Internal medicine","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01352367,0.001795707,0.004841339,0.002207506,0.0003455143,0.001031608,0.001499539,0.001065875,0.002427583],"category_scores_gemma":[0.02819643,0.0009645825,0.0139049,0.001850076,0.0004502139,0.001115845,0.0009515347,0.0008952774,0.0001437722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840516,"about_ca_system_score_gemma":0.001063557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623443,"about_ca_topic_score_gemma":0.008042944,"domain_scores_codex":[0.994368,0.003586128,0.0007160415,0.0007434268,0.0004697036,0.0001166298],"domain_scores_gemma":[0.9783565,0.01866334,0.001306546,0.0008511971,0.0007229219,0.00009943927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003586737,0.00007630973,0.01329559,0.04129414,0.8698041,0.0002417865,0.000139972,0.001289615,0.001657024,0.0006143553,0.0008285599,0.06717186],"study_design_scores_gemma":[0.001014297,0.0004597332,0.02531813,0.002916261,0.9644515,0.000268972,0.00006205914,0.001288412,0.000486869,0.001762176,0.001926107,0.00004543674],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05184195,0.9271494,0.01807365,0.0007869713,0.0003274495,0.0003635247,0.0006908065,0.0001019183,0.0006644885],"genre_scores_gemma":[0.7476922,0.2215162,0.02673239,0.0009664584,0.0002515047,0.001025277,0.0009528147,0.00006819022,0.0007948889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9951587,"threshold_uncertainty_score":0.07152086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5209406879316832,"score_gpt":0.5209771034670622,"score_spread":0.00003641553537891973,"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."}}