{"id":"W2978579231","doi":"10.1590/010318135360515822019","title":"(DIS)ABLING BODY AND CONSCIOUSNESS: TECHNOLOGICAL AFTERNESS AND AFTER-HUMANS IN REALIVE AND UPGRADE","year":2019,"lang":"en","type":"article","venue":"Trabalhos em Linguística Aplicada","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Posthuman; Dystopia; Consciousness; Utopia; Transhumanism; Panopticon; Aesthetics; Human enhancement; Environmental ethics; Cognitive science; Philosophy; Sociology; Psychology; Politics; Epistemology; History; Computer science; Artificial intelligence; Law; Political science; Art history","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"],"consensus_categories":[],"category_scores_codex":[0.0003770208,0.0003082622,0.0004055416,0.0003099972,0.0001572475,0.000165923,0.0002608852,0.0002603109,0.00007464233],"category_scores_gemma":[0.001246193,0.0002855566,0.00002750642,0.0005490391,0.001419713,0.0001710194,0.0003178782,0.0007969522,0.00002271984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003600197,"about_ca_system_score_gemma":0.00003765183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000306087,"about_ca_topic_score_gemma":0.00008026611,"domain_scores_codex":[0.9973753,0.0001090238,0.0005201623,0.001105692,0.0003572082,0.000532616],"domain_scores_gemma":[0.9983103,0.0009230259,0.0001279242,0.0004081382,0.00004604236,0.0001845576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004053915,0.0009042962,0.06670848,0.0008050488,0.00003606543,0.0006928478,0.004394812,0.000003988254,0.6796867,0.235092,0.00008099787,0.01118929],"study_design_scores_gemma":[0.01368651,0.002976642,0.4942259,0.002688986,0.0003065198,0.00083607,0.005684459,0.01009348,0.246944,0.2051952,0.01194916,0.005413078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962546,0.0001606041,0.0004605103,0.001523073,0.0001482165,0.0007008464,0.0000392088,0.0001872727,0.0005256961],"genre_scores_gemma":[0.9978654,0.0002975535,0.0003078642,0.001151323,0.0000515434,0.0001157242,0.000003031468,0.00003358533,0.0001740243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4327427,"threshold_uncertainty_score":0.9999596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064428462548586,"score_gpt":0.2829483550180488,"score_spread":0.2623040703925629,"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."}}