{"id":"W2169050233","doi":"10.1517/14728222.11.12.1523","title":"Targeting platelets for prevention and treatment of cardiovascular disease","year":2007,"lang":"en","type":"review","venue":"Expert Opinion on Therapeutic Targets","topic":"Pomegranate: compositions and health benefits","field":"Nursing","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"Florida State University","keywords":"Platelet; Medicine; Disease; Thrombosis; Nutraceutical; Platelet activation; Stroke (engine); Platelet aggregation; Bioinformatics; Internal medicine; Pathology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003065085,0.0005374178,0.001621494,0.0003385991,0.0003119063,0.00002796694,0.0001372884,0.0002807337,0.00002048548],"category_scores_gemma":[0.00001423317,0.0004269556,0.001112034,0.0001603059,0.0000539281,0.00006540213,0.00001678608,0.000124029,0.000006908721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082016,"about_ca_system_score_gemma":0.00008276828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003660444,"about_ca_topic_score_gemma":6.179198e-7,"domain_scores_codex":[0.9975632,0.0002164687,0.0007935808,0.0006333173,0.0003126114,0.0004808273],"domain_scores_gemma":[0.9985364,0.0002982084,0.0003526609,0.0005050697,0.0000792547,0.0002284225],"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":[0.0002701617,0.0003722837,5.417439e-7,0.00258097,0.0008185693,0.000002540477,0.0002829148,0.00002182061,0.000001894865,0.0002189949,0.0001354136,0.9952939],"study_design_scores_gemma":[0.001013365,0.001161086,0.000006601176,0.004040449,0.0003105274,0.000006106043,0.00002132647,0.0001166123,0.00002636463,0.0001661072,0.9927546,0.0003768803],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004400961,0.9938785,0.001136286,0.0000942722,0.001944978,0.002691966,0.0001477372,0.0000677505,0.00003412742],"genre_scores_gemma":[0.0001197073,0.9969891,0.0008041747,0.00009389972,0.0006731589,0.0005144352,0.0006691903,0.0001056782,0.00003062129],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.994917,"threshold_uncertainty_score":0.9998182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1308887943018832,"score_gpt":0.4118415265598415,"score_spread":0.2809527322579582,"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."}}