{"id":"W2902563759","doi":"10.1177/1368431018811330","title":"Me, my self, and the multitude: Microbiopolitics of the human microbiome","year":2018,"lang":"en","type":"article","venue":"European Journal of Social Theory","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Wilfrid Laurier University","keywords":"Multitude; Microbiome; Generative grammar; Human microbiome; Epistemology; Human Microbiome Project; Organism; Sociology; Environmental ethics; Biology; Philosophy; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001712431,0.0001011802,0.0001603111,0.0000253565,0.0003430407,0.00001933826,0.0003744974,0.00004183219,0.00001868161],"category_scores_gemma":[0.00004982807,0.00005746091,0.0001538481,0.00005617669,0.001120217,0.000003009463,0.0001784014,0.0001601792,0.000005031091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001135439,"about_ca_system_score_gemma":0.0000655568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001859211,"about_ca_topic_score_gemma":0.000002076969,"domain_scores_codex":[0.9984283,0.0009098889,0.0003417621,0.00009431742,0.00006342634,0.0001622969],"domain_scores_gemma":[0.999205,0.00002097955,0.0003807432,0.0001588075,0.0001935144,0.000040938],"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":[0.0001063779,0.00004435983,0.0001227344,0.00001896526,0.0001022519,0.000001600648,0.00252534,7.45214e-8,0.9849679,0.009163519,0.002758241,0.0001886306],"study_design_scores_gemma":[0.01139584,0.001190203,0.06965266,0.0001799345,0.0004120627,0.0005976175,0.004100848,8.560691e-7,0.6093113,0.003386065,0.2992293,0.0005432921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934822,0.0005221726,0.00007976426,0.0004425818,0.0002532872,0.00009488286,0.00001441703,0.0000026636,0.005108077],"genre_scores_gemma":[0.9973671,0.0000656345,0.0002242399,0.0007230846,0.0009411235,1.429333e-7,0.000001773682,0.00002055005,0.0006562859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3756565,"threshold_uncertainty_score":0.4127487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006863140113957196,"score_gpt":0.2533958771395665,"score_spread":0.2465327370256093,"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."}}