{"id":"W1983257394","doi":"10.1002/cmdc.200900091","title":"Clinical Bioinformatics. Edited by Ronald J. A. Trent.","year":2009,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computational biology; Bioinformatics; Library science; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002296829,0.001677909,0.001951139,0.003614531,0.0004098334,0.002030412,0.001656452,0.00141693,0.06445492],"category_scores_gemma":[0.005900263,0.001447768,0.0008972872,0.003231474,0.0008529977,0.002017833,0.001256287,0.003490531,0.07500127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008672593,"about_ca_system_score_gemma":0.002299462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006358564,"about_ca_topic_score_gemma":0.01388132,"domain_scores_codex":[0.9992245,0.0001906632,0.0001005637,0.000159128,0.0002768298,0.00004832615],"domain_scores_gemma":[0.996077,0.001696224,0.000267186,0.0002198999,0.001379319,0.0003604447],"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":[0.00003683221,0.00002040855,0.0001890364,0.0005938332,0.00002599135,0.00006422745,0.00005721318,0.0003923851,0.0003457674,0.0008702115,0.8134722,0.183932],"study_design_scores_gemma":[0.00001878634,0.0000293855,0.00112513,0.0009131105,0.00002930845,0.001214954,0.00005502393,0.0005873984,0.0002005285,0.004693766,0.9911103,0.00002230541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000789749,0.8430862,0.03623132,0.02824235,0.01961525,0.0002303319,0.009265536,0.004410816,0.05812847],"genre_scores_gemma":[0.006916831,0.647422,0.06595118,0.01314725,0.01017459,0.0004865942,0.010275,0.00215518,0.2434714],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06445492,"threshold_uncertainty_score":0.2156231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272882428396428,"score_gpt":0.3212287744171173,"score_spread":0.2984999501331531,"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."}}