{"id":"W4284897006","doi":"10.1177/13634593221109679","title":"Creating an (ethical) epistemic space for the normalization of clinical and “real food” oral immunotherapy for food allergy","year":2022,"lang":"en","type":"article","venue":"Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Normative; Guideline; Clinical Practice; Food allergy; Normalization (sociology); Oral immunotherapy; Clinical trial; Engineering ethics; Standardization; Medicine; Alternative medicine; Epistemology; Sociology; Political science; Social science; Family medicine; Immunology; Pathology; Allergy; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.2661483,0.0008275999,0.00135819,0.005804987,0.02634713,0.02837644,0.004072131,0.01308724,0.002890999],"category_scores_gemma":[0.2755725,0.001686485,0.001450708,0.002743431,0.1510391,0.02430458,0.03923064,0.02281032,0.0007342401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02572454,"about_ca_system_score_gemma":0.09410416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007584961,"about_ca_topic_score_gemma":0.01194877,"domain_scores_codex":[0.5881028,0.3544688,0.01099008,0.01139323,0.02669449,0.008350573],"domain_scores_gemma":[0.5554194,0.3144462,0.03545388,0.04710979,0.02888538,0.01868528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000450347,0.0001326183,0.00225909,0.0002415393,0.00003448796,0.0007809783,0.4172969,0.0003584244,0.0007099526,0.5463572,0.005248691,0.0265351],"study_design_scores_gemma":[0.0001183275,0.0001166694,0.001600953,0.001467248,0.00004188609,0.000838613,0.2102219,0.001029604,0.001067042,0.585042,0.1982775,0.0001782454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1335744,0.003600532,0.1566106,0.554816,0.002381026,0.0009596027,0.00007497251,0.00026132,0.1477216],"genre_scores_gemma":[0.9358572,0.0005211703,0.04296235,0.01590254,0.0003245094,0.0006770171,0.00003078518,0.00007715583,0.003647162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736528,"threshold_uncertainty_score":0.9049698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3806320482041649,"score_gpt":0.6285892458582313,"score_spread":0.2479571976540664,"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."}}