{"id":"W2810932025","doi":"10.4018/ijt.2018070101","title":"De-Marginalizing Technophilosophy and Ethical Inquiry for an Evolving Technological Society","year":2018,"lang":"en","type":"article","venue":"International Journal of Technoethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Leverage (statistics); Engineering ethics; Political science; Relevance (law); Sociology; Key (lock); Environmental ethics; Engineering; Law; Philosophy; Computer science","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":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002538102,0.0001835915,0.0002277039,0.0004140606,0.0003364687,0.000217944,0.001277185,0.0008396576,0.00003481128],"category_scores_gemma":[0.0140337,0.0001654003,0.0001352296,0.0004281967,0.003620525,0.000343909,0.0003386046,0.002718067,0.00000413742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854958,"about_ca_system_score_gemma":0.0001992031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001763265,"about_ca_topic_score_gemma":0.000001481991,"domain_scores_codex":[0.9974802,0.00008496577,0.0006967644,0.0003724197,0.001056605,0.0003091187],"domain_scores_gemma":[0.9964565,0.001045999,0.0005526921,0.0002461616,0.00157465,0.0001240078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006268146,0.0001315978,0.00007566038,0.00002208354,0.00003037469,0.00002801931,0.0005508892,0.000002104481,0.6043797,0.3840231,0.001535759,0.009158024],"study_design_scores_gemma":[0.0007454387,0.0009854357,0.00007143537,0.0002089349,0.00002628496,0.0005593976,0.0003384026,0.002685801,0.3737576,0.6013085,0.01906835,0.0002444441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3150503,0.0001114704,0.5366728,0.1434973,0.00241532,0.0005293369,0.00005033558,0.0005479935,0.001125169],"genre_scores_gemma":[0.9407943,0.0001228313,0.04682567,0.01115104,0.00103816,0.00001515168,0.000001356259,0.00002724472,0.00002417405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6257441,"threshold_uncertainty_score":0.9995827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783622233822822,"score_gpt":0.4356706185329438,"score_spread":0.2573083951506616,"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."}}