{"id":"W4296130880","doi":"10.1101/2022.09.12.507681","title":"PhysiPKPD: A pharmacokinetics and pharmacodynamics module for PhysiCell","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Open source; Key (lock); Pharmacodynamics; In silico; Pharmacokinetics; Computer science; Source code; Code (set theory); R package; Computational biology; Software engineering; Pharmacology; Programming language; Medicine; Chemistry; Biology; Software; Operating system","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":[0.0003932745,0.0006642219,0.0005709659,0.000151691,0.0002660245,0.0001158321,0.0006268333,0.0003448966,0.00003750955],"category_scores_gemma":[0.00003661233,0.0008131615,0.0003670273,0.0002873298,0.0001342944,0.000007703854,0.001245564,0.0004658022,0.000004468893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064866,"about_ca_system_score_gemma":0.0002994426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009578333,"about_ca_topic_score_gemma":0.000001299313,"domain_scores_codex":[0.9970733,0.0001390414,0.0004415855,0.00141798,0.0003141662,0.0006139064],"domain_scores_gemma":[0.9977669,0.00002465519,0.0004235385,0.001198964,0.0003185653,0.0002673888],"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":[0.00008115238,0.000167501,0.001223151,0.0003467478,0.0006858938,0.000005626425,0.000003254341,0.008065258,0.9874688,0.00006487642,0.001878104,0.000009675552],"study_design_scores_gemma":[0.001843438,0.0001953609,0.005115431,0.00005535764,0.001183807,3.353378e-8,0.000004795499,0.04064194,0.858789,0.000008618385,0.09042637,0.001735809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862427,0.004469448,0.006499953,0.0001019831,0.0008103645,0.001012622,0.0007489736,0.000105221,0.000008753265],"genre_scores_gemma":[0.9909966,0.001579052,0.004786903,0.0003216068,0.001385014,0.0006338443,0.0000137936,0.0002372119,0.00004599028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1286797,"threshold_uncertainty_score":0.9994319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325799800936134,"score_gpt":0.2363456850998448,"score_spread":0.2270198852989086,"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."}}