{"id":"W2022913967","doi":"10.1002/meet.2009.14504603113","title":"Evidence of a new and evolving discipline: Neuroethics literature, 2002–2007","year":2009,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"National Institutes of Health","keywords":"Neuroethics; Bioethics; Engineering ethics; Field (mathematics); Object (grammar); Medical ethics; Ethical issues; Psychology; Neuroscience; Political science; Law; Psychiatry; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008347259,0.0001078745,0.0001841886,0.0002926845,0.0003925,0.0001165221,0.0006779025,0.00006365548,0.00000136265],"category_scores_gemma":[0.008029301,0.00008012728,0.000054395,0.00500604,0.005398148,0.002262798,0.0002920411,0.0003124197,4.892524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002958102,"about_ca_system_score_gemma":0.000173616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002743411,"about_ca_topic_score_gemma":1.232853e-7,"domain_scores_codex":[0.9985207,0.000002421926,0.0004039539,0.0002340799,0.0005655873,0.0002732288],"domain_scores_gemma":[0.9977849,0.0001765476,0.0007795739,0.0001427056,0.001053403,0.00006288938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001910269,0.00002364943,0.0004160203,0.0001358517,0.000003035871,2.395266e-8,0.002779718,4.964525e-7,0.8529977,0.1073929,0.003771433,0.03246006],"study_design_scores_gemma":[0.0005895993,0.001315761,0.006197644,0.0006137222,0.00003512228,0.00004810873,0.003866142,0.003616766,0.9088981,0.06925865,0.0052413,0.0003191299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612656,0.000143939,0.0008174423,0.03637575,0.0001062971,0.0005640266,0.00001266785,0.00009454293,0.000619757],"genre_scores_gemma":[0.9897467,0.0006215386,0.005187578,0.004357755,0.00001876235,0.00000990017,1.497726e-7,0.000003298474,0.00005429879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05590031,"threshold_uncertainty_score":0.9973086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487672184289251,"score_gpt":0.3423295515225743,"score_spread":0.2935623330936492,"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."}}