{"id":"W2135323907","doi":"10.22329/p.v3i2.567","title":"Cyborg Life: The In-Between of Humans and Machines","year":2008,"lang":"en","type":"article","venue":"PhaenEx","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temporality; sort; Perception; Function (biology); Aesthetics; Cognitive science; Period (music); Sorting; Adaptive functioning; Computer science; Psychology; Epistemology; Art; Philosophy; Developmental psychology; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001794217,0.00008254871,0.0001292752,0.00009600447,0.0001637158,0.0000090727,0.0002561038,0.00003323404,0.00006240623],"category_scores_gemma":[0.0008535097,0.00005975633,0.00001917289,0.0004240579,0.000799346,0.00007925442,0.0001012455,0.0002256284,0.00001365957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007876957,"about_ca_system_score_gemma":0.00004546781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006106075,"about_ca_topic_score_gemma":0.00001756441,"domain_scores_codex":[0.9990345,0.00008734663,0.0002665529,0.0002160354,0.0002373856,0.0001581815],"domain_scores_gemma":[0.9991522,0.0004640888,0.00009044423,0.0002229664,0.00002534361,0.00004498899],"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":[0.00002519266,0.0003202279,0.1405456,0.00009000101,0.00001501272,0.00005319044,0.004074768,0.00001291922,0.8059384,0.03969117,0.003340032,0.005893484],"study_design_scores_gemma":[0.001124557,0.0001664785,0.5279222,0.00004145444,0.00001690836,0.00001894806,0.00005810901,0.0002848793,0.4421969,0.0177953,0.0100894,0.0002848788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926021,0.00004807862,0.0001682118,0.003580189,0.0001047668,0.0001373721,0.00001341673,0.00002615672,0.003319683],"genre_scores_gemma":[0.9971714,0.0001027058,0.00005339455,0.002190572,0.00009568165,0.00001060336,0.000001157051,0.000009560994,0.0003648978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3873765,"threshold_uncertainty_score":0.2945223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147723310485055,"score_gpt":0.3484550224245243,"score_spread":0.2007317119394693,"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."}}