{"id":"W2206009643","doi":"10.1016/j.jacc.2014.09.014","title":"Immature Platelet Count","year":2014,"lang":"en","type":"letter","venue":"Journal of the American College of Cardiology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Platelet; Internal medicine","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":[0.0005387643,0.0007296233,0.001063776,0.001118194,0.002038593,0.001758924,0.0009145431,0.01220458,0.007576957],"category_scores_gemma":[0.01050483,0.0004176065,0.001061986,0.0005928314,0.0009933605,0.001264392,0.0006536732,0.01419915,0.004165404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207883,"about_ca_system_score_gemma":0.001585651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764844,"about_ca_topic_score_gemma":0.005449458,"domain_scores_codex":[0.9991123,0.0001894395,0.0001251562,0.0001427375,0.0002559308,0.0001743558],"domain_scores_gemma":[0.9980147,0.0008287331,0.0002178299,0.0001150223,0.0003826828,0.0004409845],"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":[0.0001521036,0.0001341548,0.01377252,0.0001180594,0.00007998825,0.3056761,0.0002207995,0.0002192021,0.0006480824,0.005939318,0.6439741,0.02906563],"study_design_scores_gemma":[0.0002799378,0.0002542836,0.01619335,0.001160781,0.0002071116,0.4713838,0.0005290606,0.002313604,0.0008884949,0.02230734,0.4843514,0.0001309026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009284134,0.005278823,0.0007653547,0.8915617,0.02599899,0.00007314409,0.0001867932,0.0001427789,0.06670827],"genre_scores_gemma":[0.1088068,0.004549825,0.001543753,0.7636271,0.07756932,0.00009186009,0.0003165152,0.00007652702,0.04341838],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01220458,"threshold_uncertainty_score":0.02534747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005249121264483,"score_gpt":0.2511648086637845,"score_spread":0.2411123174511397,"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."}}