{"id":"W4387357825","doi":"10.1111/dom.15301","title":"Breaking a feedback loop: A reassessment of an investigator initiated <scp>OS‐AID</scp> study","year":2023,"lang":"en","type":"letter","venue":"Diabetes Obesity and Metabolism","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council","keywords":"Gateway (web page); Computer science; Loop (graph theory); World Wide Web; Combinatorics; Mathematics","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":[0.02086822,0.0006075603,0.001094378,0.0007544143,0.003482478,0.005261963,0.002678112,0.02615722,0.007231661],"category_scores_gemma":[0.1349486,0.000379416,0.001525484,0.0005744472,0.003792446,0.00534098,0.001892275,0.03376798,0.007208252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004357228,"about_ca_system_score_gemma":0.007691049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246443,"about_ca_topic_score_gemma":0.004716876,"domain_scores_codex":[0.9870611,0.005492295,0.001715866,0.00125182,0.003562822,0.0009161155],"domain_scores_gemma":[0.8765299,0.07639853,0.003636968,0.00612549,0.02668911,0.01062001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001530894,0.00007941013,0.000719821,0.0001595355,0.00003244649,0.005749086,0.0005059447,0.00007658627,0.000252343,0.005523588,0.9326503,0.05409797],"study_design_scores_gemma":[0.0001438977,0.000239351,0.0007132877,0.0009869973,0.00005383583,0.006862985,0.001052541,0.0004798938,0.0003952329,0.01634379,0.9726504,0.00007768492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005195593,0.001793282,0.0006790317,0.9669451,0.02831202,0.00002761483,0.00004467746,0.00005280714,0.001625992],"genre_scores_gemma":[0.01332798,0.003678274,0.002937515,0.880064,0.09376953,0.0001702377,0.00006719877,0.0001110739,0.005874211],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02615722,"threshold_uncertainty_score":0.1103631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04574036661001977,"score_gpt":0.2687548718851961,"score_spread":0.2230145052751763,"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."}}