{"id":"W2053219566","doi":"10.1016/j.socscimed.2010.05.017","title":"Contemporary neuroscience in the media","year":2010,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":256,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; NeuroDevNet; Montreal Clinical Research Institute; Université de Montréal; McGill University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Canadian Institutes of Health Research; Institut de Recherche Clinique De Montréal","keywords":"Social neuroscience; Neurolaw; Set (abstract data type); Essentialism; Social media; Neuroethics; Function (biology); Neuroscience; Realism; Brain function; Psychology; Cognitive science; Sociology; Cognition; Political science; Social cognition; Epistemology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002460837,0.000485954,0.0004472148,0.002531398,0.003033489,0.01522187,0.0008075702,0.005555812,0.01715499],"category_scores_gemma":[0.005730203,0.0002971384,0.0002516235,0.002276243,0.01633552,0.01382196,0.002654455,0.004960004,0.002260016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004414525,"about_ca_system_score_gemma":0.002743742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989024,"about_ca_topic_score_gemma":0.00419863,"domain_scores_codex":[0.9985513,0.0006466395,0.00004540182,0.0002124653,0.00035784,0.0001864116],"domain_scores_gemma":[0.9958128,0.002563314,0.000346367,0.0002874001,0.0005166234,0.0004734259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003106815,0.00003841395,0.0006789931,0.0002825241,0.00001030205,0.0001524737,0.003664957,0.00009987975,0.0003316854,0.9091772,0.04264919,0.04288327],"study_design_scores_gemma":[0.00001277476,0.00002301618,0.00143229,0.0009385265,0.00001384899,0.000245913,0.005139798,0.0002340881,0.000196472,0.36565,0.6260948,0.00001839671],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01098715,0.2123595,0.0025773,0.2582687,0.008358311,0.00001445654,0.0001218229,0.00007488094,0.507238],"genre_scores_gemma":[0.5607345,0.2130087,0.001876613,0.06430908,0.05635098,0.0001206595,0.0001895844,0.0001352795,0.1032746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9969665,"threshold_uncertainty_score":0.05738914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412773257628259,"score_gpt":0.3951986772184915,"score_spread":0.2539213514556656,"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."}}