{"id":"W4233923074","doi":"10.1503/cmaj.151077","title":"Myelodysplastic syndrome","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"Celgene","keywords":"Computer science; Myelodysplastic syndromes; Medicine; World Wide Web; Data science; Pathology; Bone marrow","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":[0.00009630488,0.0003854103,0.0003876337,0.0005809133,0.0005603365,0.0004018643,0.0002290915,0.0004287715,0.01086119],"category_scores_gemma":[0.0006621624,0.00005433712,0.000161825,0.0005709488,0.0002949321,0.0002486489,0.0003292481,0.0003865328,0.001808292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003978361,"about_ca_system_score_gemma":0.0006716871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321373,"about_ca_topic_score_gemma":0.005140518,"domain_scores_codex":[0.9998399,0.00001671979,0.0000117992,0.00002091096,0.00006794823,0.00004273528],"domain_scores_gemma":[0.9997911,0.00002966853,0.00005646362,0.000005963818,0.00005978456,0.00005701126],"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":[0.0004887927,0.0003193787,0.2835213,0.0009996049,0.0001725728,0.2565338,0.0006277967,0.0007187449,0.02894865,0.01392473,0.1114885,0.3022561],"study_design_scores_gemma":[0.0001164433,0.0003302945,0.1992284,0.0009010665,0.0001635107,0.5126011,0.0004125074,0.0003945149,0.003650675,0.004484801,0.2776717,0.00004489717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4699649,0.09022693,0.006115017,0.008750662,0.001063175,0.0006373127,0.009673242,0.0007520322,0.4128167],"genre_scores_gemma":[0.9323249,0.01675821,0.002661645,0.005194358,0.0005087076,0.00007288036,0.003251307,0.00003679292,0.03919124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086119,"threshold_uncertainty_score":0.03633428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008623457781390167,"score_gpt":0.2531904438788675,"score_spread":0.2445669860974773,"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."}}