{"id":"W4247346445","doi":"10.2174/1871529x1901190116142817","title":"Preface","year":2019,"lang":"en","type":"article","venue":"Cardiovascular & Haematological Disorders - Drug Targets","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00142822,0.0008019281,0.002001383,0.0002173578,0.0002530951,0.0001125313,0.001100204,0.0003879677,0.001750944],"category_scores_gemma":[0.0004727055,0.0006661788,0.003285165,0.0008414823,0.0003928991,0.0004416485,0.0005141698,0.000693387,0.04164772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389953,"about_ca_system_score_gemma":0.00007424981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007073639,"about_ca_topic_score_gemma":0.0000202277,"domain_scores_codex":[0.993705,0.0008899735,0.0006968795,0.001690073,0.001541752,0.001476356],"domain_scores_gemma":[0.9965759,0.0002015264,0.0001715899,0.002447497,0.0001689185,0.0004345476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001418724,0.00562841,0.4376207,0.002631785,0.03535766,0.00287673,0.005497019,0.04740148,0.004056074,0.06651165,0.3326702,0.05832953],"study_design_scores_gemma":[0.005630544,0.0001437501,0.03691983,0.0001283001,0.0008765054,0.0003828158,0.001152413,0.001364411,0.002366827,0.01060677,0.93764,0.002787806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8242255,0.093477,0.002322823,0.000530783,0.001252069,0.003131257,0.00007098352,0.002058466,0.07293107],"genre_scores_gemma":[0.9964228,0.0009398574,0.0008317406,0.0002559761,0.00007161958,0.0002146464,0.0001072293,0.0002079584,0.0009481288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6049698,"threshold_uncertainty_score":0.999579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007262931174018013,"score_gpt":0.210420938869618,"score_spread":0.2031580076955999,"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."}}