{"id":"W4236334287","doi":"10.2174/1568006013338097","title":"Preface","year":2001,"lang":"en","type":"article","venue":"Current Drug Targets - Cardiovascular & Hematological Disorders","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Computer science","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":[0.001384378,0.0007147037,0.0004963299,0.002179262,0.001837098,0.002137545,0.001018928,0.000776915,0.3757708],"category_scores_gemma":[0.01124225,0.0001951952,0.0004651975,0.001212077,0.0003253676,0.00160442,0.001541221,0.002183788,0.2571128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397035,"about_ca_system_score_gemma":0.002033101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004325313,"about_ca_topic_score_gemma":0.004880162,"domain_scores_codex":[0.9993976,0.00008905838,0.0000390425,0.0000820866,0.0003343196,0.00005779911],"domain_scores_gemma":[0.9945006,0.0007942335,0.0001735096,0.0004168212,0.003380689,0.0007341016],"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":[0.00002498832,0.00001632133,0.00008531952,0.00005801658,0.00000122581,0.00003747994,0.00002911006,0.00003724644,0.00009341001,0.002032416,0.9612322,0.03635226],"study_design_scores_gemma":[0.000003858731,0.00001117668,0.0002621025,0.00007130125,0.000001543863,0.00004624866,0.0000411702,0.00002432582,0.0001040884,0.001484526,0.9979467,0.000003119473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001776922,0.01088001,0.00856259,0.04263686,0.2945344,0.0008790769,0.01395607,0.001732145,0.6250418],"genre_scores_gemma":[0.005267558,0.004094787,0.002822056,0.008487768,0.02415931,0.0003211698,0.007671142,0.0006212823,0.946555],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3757708,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253035807492237,"score_gpt":0.2663686206527159,"score_spread":0.2438382625777936,"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."}}