{"id":"W2531750461","doi":"10.1016/j.jcjd.2016.08.222","title":"Challenges in the Diagnosis and Treatment of Special and Atypical Forms of Diabetes: Looking for a Needle in a Haystack","year":2016,"lang":"en","type":"editorial","venue":"Canadian Journal of Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Montreal Clinical Research Institute; Université de Montréal; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Haystack; Medicine; Diabetes mellitus; Dermatology; Endocrinology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01503242,0.003973112,0.005715554,0.003570621,0.002985996,0.008681849,0.004776863,0.02277767,0.006014207],"category_scores_gemma":[0.05509068,0.001408834,0.003173028,0.001454927,0.003770259,0.007919637,0.002025553,0.03789538,0.005281843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00427086,"about_ca_system_score_gemma":0.005206354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510017,"about_ca_topic_score_gemma":0.01092545,"domain_scores_codex":[0.99076,0.001747078,0.001713903,0.0008052159,0.004442033,0.0005318803],"domain_scores_gemma":[0.9244465,0.03729781,0.003385883,0.001260312,0.02448447,0.009125024],"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":[0.00004276506,0.00001670136,0.00004927282,0.000285831,0.0000314813,0.0002235163,0.00002331747,0.00003351179,0.00004151784,0.0004486534,0.9895499,0.009253477],"study_design_scores_gemma":[0.0001295815,0.000071582,0.0004512027,0.001392931,0.0001193835,0.00126238,0.0001444369,0.000289581,0.00009534427,0.002636676,0.993345,0.00006187979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000268392,0.01353428,0.0001781213,0.05902457,0.9266173,0.000009472708,0.00001987821,0.000033,0.0005565798],"genre_scores_gemma":[0.0001948924,0.0058587,0.0001067565,0.01653324,0.9762048,0.000006351663,0.000008550914,0.000012082,0.001074649],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02277767,"threshold_uncertainty_score":0.07950002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450363282280016,"score_gpt":0.2418772627750382,"score_spread":0.227373629952238,"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."}}