{"id":"W4313462870","doi":"10.1201/9780429286599","title":"Molecular Biochemistry of Human Disease","year":2023,"lang":"en","type":"book","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disease; Human disease; Computational biology; Biochemistry; Biology; Medicine; Pathology","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":[0.00006407126,0.0003281279,0.0002744186,0.00007659613,0.00004913934,0.00001534278,0.0003372002,0.0003883304,0.0001267878],"category_scores_gemma":[0.00006068313,0.0003626648,0.0003847937,0.00004515598,0.0002056272,8.087743e-7,0.0002110839,0.00009999843,0.00003926318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000242441,"about_ca_system_score_gemma":0.0005862356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004248717,"about_ca_topic_score_gemma":0.000003805122,"domain_scores_codex":[0.9985291,0.00002145296,0.0003506514,0.0005941549,0.0002589896,0.000245607],"domain_scores_gemma":[0.9984198,0.000006295517,0.0001579874,0.000900748,0.0001820979,0.000333125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000109717,0.0001834672,0.000178591,0.001033599,0.0002219487,0.00006570516,0.000004535507,0.00001887242,0.7093745,0.0009362969,0.287738,0.0001347882],"study_design_scores_gemma":[0.00141664,0.0003091644,0.0003087953,0.0003047808,0.0004466146,0.000003355397,0.00002501327,0.000007051867,0.8861492,0.01699018,0.09282159,0.001217646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2004251,0.01918787,0.0004523095,0.0002674974,0.0007240891,0.001218462,0.003155049,0.0002355145,0.7743341],"genre_scores_gemma":[0.06277525,0.000540878,0.00007690983,0.0002407841,0.0006478708,0.00003688411,0.007699516,0.0001355359,0.9278464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1949164,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008899542006337085,"score_gpt":0.2525363977869438,"score_spread":0.2436368557806067,"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."}}