{"id":"W7084763686","doi":"10.25934/pr00008615","title":"Using artificial intelligence to predict and prevent physical activity induced hypoglycemia and hyperglycemia in type 1 diabetes","year":2025,"lang":"en","type":"dataset","venue":"Vivli","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Type 1 diabetes; Physical activity; Hypoglycemia; Diabetes mellitus; Continuous glucose monitoring; Artificial pancreas","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":[0.001134002,0.001972921,0.001000759,0.002002682,0.0005730243,0.001171597,0.002357828,0.00207252,0.01147616],"category_scores_gemma":[0.004571542,0.0004056107,0.00164692,0.001926603,0.0003216953,0.000514479,0.001086923,0.001282537,0.01047428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353341,"about_ca_system_score_gemma":0.00157312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280421,"about_ca_topic_score_gemma":0.1227176,"domain_scores_codex":[0.9993388,0.000146492,0.00008324645,0.0001868432,0.0001477152,0.00009679623],"domain_scores_gemma":[0.9986446,0.0004723705,0.000134536,0.0002465388,0.0003557306,0.0001461633],"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":[0.0005186087,0.0003131952,0.02039349,0.001102597,0.0002396268,0.0001360809,0.00004450801,0.003517705,0.000314676,0.0003943428,0.9579978,0.0150273],"study_design_scores_gemma":[0.002498543,0.0005469799,0.1371127,0.002063332,0.0008595958,0.0007069983,0.00081694,0.03761237,0.003024977,0.004358975,0.8101364,0.000262326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005971719,0.0003499122,0.0002502393,0.0004010861,0.0001423954,0.00006334793,0.9911851,0.00038517,0.001250952],"genre_scores_gemma":[0.005637697,0.0001089592,0.0008584775,0.0001095226,0.00001766058,0.0001119924,0.9923584,0.00001684176,0.0007804452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06280421,"threshold_uncertainty_score":0.1248773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355117522205301,"score_gpt":0.3267047640125847,"score_spread":0.2531535887905317,"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."}}