{"id":"W4309364841","doi":"10.1002/adbi.202200151","title":"The Application of High‐Throughput Approaches in Identifying Novel Therapeutic Targets and Agents to Treat Diabetes","year":2022,"lang":"en","type":"review","venue":"Advanced Biology","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research","keywords":"Throughput; Computer science; Diabetes mellitus; Computational biology; Risk analysis (engineering); Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000895614,0.0009166228,0.001327569,0.003256999,0.0003076225,0.001116754,0.0008373564,0.001043871,0.002960081],"category_scores_gemma":[0.0007659339,0.0004283101,0.0008795597,0.002474972,0.0005593243,0.001515127,0.0007606967,0.002682872,0.001987048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836393,"about_ca_system_score_gemma":0.0007998899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008910449,"about_ca_topic_score_gemma":0.001196511,"domain_scores_codex":[0.9995903,0.00006859078,0.00004260498,0.00005770945,0.0001977968,0.00004292501],"domain_scores_gemma":[0.9996347,0.0001927888,0.00004138242,0.00001334175,0.00009379956,0.00002392501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000102102,0.0001696657,0.0002100583,0.02505806,0.0001708314,0.000327987,0.0001117509,0.001227234,0.01237085,0.01206214,0.0236218,0.9245675],"study_design_scores_gemma":[0.00002337024,0.0001793916,0.0007419526,0.001853091,0.0001382097,0.001066194,0.00004588623,0.0002896526,0.003302497,0.00248409,0.9898403,0.00003542102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002336812,0.9967709,0.0007040811,0.0002180553,0.0002238305,0.00001467778,0.00002552255,0.00001833215,0.001790885],"genre_scores_gemma":[0.001042897,0.9976653,0.0005031675,0.0001399445,0.0001056393,0.00001410386,0.00002990068,0.000002043157,0.0004970321],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003256999,"threshold_uncertainty_score":0.009902477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298588459310432,"score_gpt":0.3696098576528822,"score_spread":0.239751011721839,"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."}}