{"id":"W4367180869","doi":"10.1080/10253866.2023.2206128","title":"Bodies as machines. Machines as bodies","year":2023,"lang":"en","type":"article","venue":"Consumption Markets & Culture","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Personhood; Dehumanization; Metaphor; Meaning (existential); Posthumanism; Human body; Transhumanism; Epistemology; Sociology; Cognitive science; Human enhancement; Aesthetics; Computer science; Artificial intelligence; Psychology; Philosophy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004789041,0.0003726662,0.0002918747,0.0003231575,0.0007870879,0.0002230907,0.0005393596,0.00021706,0.00431105],"category_scores_gemma":[0.0047304,0.0003102545,0.0001244797,0.0005835043,0.0008562653,0.0003765473,0.0003378041,0.000703514,0.008104537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606357,"about_ca_system_score_gemma":0.00006292245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001523798,"about_ca_topic_score_gemma":0.00002997075,"domain_scores_codex":[0.9970117,0.0003008228,0.000499465,0.0008714385,0.0007656168,0.0005510172],"domain_scores_gemma":[0.9983764,0.0004985792,0.0002255148,0.0005590593,0.0001640663,0.0001763972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001636456,0.0001980756,0.004676728,0.0003350304,0.00004866266,0.0002645579,0.00256534,0.000006351328,0.5960245,0.03263181,0.3489838,0.01410152],"study_design_scores_gemma":[0.001684055,0.0001910457,0.04763887,0.0002869115,0.00009288256,0.0002278547,0.000244135,0.001092915,0.0665547,0.06057479,0.820127,0.001284842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026246,0.0005746736,0.0001260359,0.01681467,0.003647933,0.001101241,0.0002715951,0.002712175,0.07212707],"genre_scores_gemma":[0.7948996,0.004066103,0.0002420065,0.01598675,0.0005211417,0.0002281277,0.0001792771,0.00008938622,0.1837876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5294697,"threshold_uncertainty_score":0.999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07119846106589114,"score_gpt":0.3583865519697623,"score_spread":0.2871880909038711,"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."}}