{"id":"W2967687866","doi":"10.3390/soc9030059","title":"In Biomedicine, Thin Is Still In: Obesity Surveillance among Racialized, (Im)migrant, and Female Bodies","year":2019,"lang":"en","type":"article","venue":"Societies","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Multitude; Biomedicine; Obesity; Pandemic; Race (biology); Political science; Sociology; Medicine; Gerontology; Coronavirus disease 2019 (COVID-19); Psychology; Criminology; Gender studies; Disease; Law; Bioinformatics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00505437,0.0001398533,0.0002280192,0.001853391,0.00227315,0.002809211,0.0006441262,0.001149361,0.007024416],"category_scores_gemma":[0.01419798,0.0001878918,0.0002194958,0.001600403,0.00189992,0.003330242,0.002323283,0.001420592,0.000825966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624941,"about_ca_system_score_gemma":0.002668696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272577,"about_ca_topic_score_gemma":0.01680497,"domain_scores_codex":[0.9985208,0.0006994461,0.0001410189,0.0001760061,0.0002332776,0.0002293582],"domain_scores_gemma":[0.9919649,0.002296597,0.002770256,0.0005538822,0.001186485,0.001227774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001030221,0.0001579664,0.7517734,0.0005799492,0.00003648369,0.0003633106,0.05691707,0.00003884958,0.001251734,0.006878163,0.02023344,0.1616666],"study_design_scores_gemma":[0.000009581678,0.0001852928,0.8081387,0.002281953,0.0000564029,0.0007808459,0.1362205,0.0001431997,0.0006476521,0.005182101,0.04631419,0.00003951329],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8182656,0.01552889,0.001882128,0.1264054,0.001279591,0.00009296271,0.0007970507,0.00005764611,0.03569071],"genre_scores_gemma":[0.9709535,0.00854179,0.001825112,0.0145284,0.0006215668,0.0000731597,0.000252794,0.0000174502,0.003186261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272577,"threshold_uncertainty_score":0.02673036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873416963554046,"score_gpt":0.4016041108403127,"score_spread":0.3628699412047723,"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."}}