{"id":"W2527196207","doi":"10.1080/09505431.2016.1238890","title":"Neoliberal Biopolitics through the Spectacles of the Gene","year":2016,"lang":"en","type":"article","venue":"Science as Culture","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Biopower; Neoliberalism (international relations); Sociology; Governmentality; Political science; Political economy; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002762192,0.000116877,0.0000920207,0.00003688974,0.0007640236,0.00007067862,0.001723007,0.00004932074,0.0001557733],"category_scores_gemma":[0.002645782,0.00004350892,0.00005955248,0.001633326,0.00864691,0.0003861642,0.0003592482,0.000219748,0.0001002052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239857,"about_ca_system_score_gemma":0.0002310235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002019463,"about_ca_topic_score_gemma":0.000005472576,"domain_scores_codex":[0.9979187,0.00007781682,0.0002390662,0.0003962009,0.00096698,0.0004011879],"domain_scores_gemma":[0.9987684,0.000174818,0.000169046,0.0006690916,0.0001612634,0.00005731743],"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":[0.000001096706,0.00002020156,0.00002110424,0.000001739041,6.363575e-7,8.353929e-7,0.001020901,4.806275e-7,0.7192987,0.2781186,0.001369781,0.0001459331],"study_design_scores_gemma":[0.00009769094,0.00003316528,0.0004244994,0.00002123876,0.000003350993,0.00001645988,0.0001467196,0.000003558764,0.8267072,0.1585443,0.01393582,0.00006599398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021394,0.00003009366,0.0004410851,0.06009606,0.00177872,0.0004601345,0.0000623491,0.00008573986,0.03490641],"genre_scores_gemma":[0.9812669,0.00003588449,0.0002757527,0.009517585,0.0001561304,0.000008074218,1.203412e-7,0.000007261945,0.008732285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1195743,"threshold_uncertainty_score":0.994051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04963294732655731,"score_gpt":0.3349305996631058,"score_spread":0.2852976523365485,"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."}}