{"id":"W1878836154","doi":"10.14740/jem.v5i5.302","title":"Harnessing Structural Data of Insulin and Insulin Receptor for Therapeutic Designs","year":2015,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insulin; Insulin receptor; Medicine; Insulin delivery; Receptor; Diabetes mellitus; Internal medicine; Endocrinology; Insulin resistance; Type 1 diabetes","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":[0.0009167133,0.0005229907,0.0008269756,0.003476623,0.0002952863,0.0009651597,0.0006600042,0.0006175605,0.002739075],"category_scores_gemma":[0.002741429,0.0002637714,0.0007952353,0.003844731,0.000389877,0.001656501,0.000381144,0.001052452,0.001221422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019471,"about_ca_system_score_gemma":0.001080091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008875064,"about_ca_topic_score_gemma":0.00141273,"domain_scores_codex":[0.9995179,0.00008569245,0.00006206585,0.0000859806,0.0002228787,0.00002540055],"domain_scores_gemma":[0.9990199,0.0003929375,0.0002175886,0.00008120361,0.0002541504,0.00003422393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003315184,0.0001857512,0.01089933,0.01888525,0.0003697057,0.001582287,0.0006918033,0.0061143,0.1002747,0.02351601,0.03742148,0.7997278],"study_design_scores_gemma":[0.00006669356,0.0006048751,0.02175676,0.00348605,0.001131695,0.003886263,0.001190738,0.0261997,0.06971242,0.06529416,0.8064538,0.0002169095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.1288661,0.6546216,0.1386636,0.0161342,0.001858249,0.0005119269,0.0161841,0.0019981,0.04116209],"genre_scores_gemma":[0.3442753,0.4851779,0.1379625,0.003397009,0.0012288,0.0003607147,0.02042648,0.0003364954,0.006834667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003476623,"threshold_uncertainty_score":0.009163082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07505874821573669,"score_gpt":0.3258094904688212,"score_spread":0.2507507422530846,"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."}}