{"id":"W3205365085","doi":"10.15353/cjds.v10i2.795","title":"Diabetes, Art, and Data Resonance","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Disability Studies","topic":"Dietary Effects on Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Centrality; Data collection; Legibility; Diabetes management; Value (mathematics); Tracking (education); Psychology; Data science; Computer science; Medicine; Cognitive psychology; Diabetes mellitus; Sociology; Artificial intelligence; Type 2 diabetes; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02555298,0.0007694755,0.0007420778,0.004470332,0.02085426,0.02836374,0.002510028,0.004499388,0.01019152],"category_scores_gemma":[0.02538083,0.0006046298,0.0008336795,0.005559829,0.07946992,0.01978361,0.0143026,0.0111044,0.001787568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01057078,"about_ca_system_score_gemma":0.008545025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365887,"about_ca_topic_score_gemma":0.01715184,"domain_scores_codex":[0.9768384,0.01465763,0.0007343235,0.001799912,0.004755688,0.001214003],"domain_scores_gemma":[0.9681171,0.02245405,0.0008944354,0.004216104,0.002421645,0.00189673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004613878,0.00002569468,0.0003171128,0.0002355084,0.00001140541,0.0001535549,0.05584732,0.0001338402,0.0001895587,0.8578595,0.04650945,0.03867098],"study_design_scores_gemma":[0.00001293755,0.00001734445,0.0002287092,0.000548015,0.000007813358,0.0002612674,0.02506813,0.0001866017,0.0002226852,0.1508785,0.8225324,0.00003557147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01531964,0.06753327,0.0696032,0.3015262,0.01739819,0.0001950089,0.0005117697,0.0006093805,0.5273033],"genre_scores_gemma":[0.5904092,0.05582098,0.0898831,0.06644605,0.01376603,0.0009818375,0.000695208,0.001616368,0.1803813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02836374,"threshold_uncertainty_score":0.1351386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0845347320978754,"score_gpt":0.3606347455151008,"score_spread":0.2761000134172253,"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."}}