{"id":"W4312781748","doi":"10.1007/978-3-031-10691-0","title":"Discovery DMPK Quick Guide","year":2022,"lang":"en","type":"book","venue":"","topic":"Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computational biology; Pharmacokinetics; Drug discovery; Data science; Drug metabolism; Drug; Medicine; Pharmacology; Biology; Bioinformatics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006133511,0.001388392,0.001092811,0.003089094,0.0008243501,0.003655264,0.001978817,0.001810407,0.6499041],"category_scores_gemma":[0.001839098,0.001099538,0.0009083049,0.001929077,0.0003819704,0.002202745,0.002243653,0.002592338,0.563486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318018,"about_ca_system_score_gemma":0.001454554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286021,"about_ca_topic_score_gemma":0.008868366,"domain_scores_codex":[0.9995221,0.00004215485,0.00001167247,0.00004850628,0.0003342344,0.0000413127],"domain_scores_gemma":[0.9993766,0.0001904897,0.0000254664,0.00007180768,0.000200388,0.0001353046],"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":[0.0000238806,0.00002859141,0.00002273603,0.0001225728,0.000003123464,0.00002968215,0.00001013264,0.000134999,0.0005753827,0.002762433,0.8999277,0.09635884],"study_design_scores_gemma":[0.000008287418,0.000009234145,0.00003920743,0.00003798752,0.000001914607,0.00006266764,0.000005828465,0.0001110519,0.0002654151,0.001705379,0.9977484,0.000004611667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0002045916,0.002892911,0.008058493,0.001642318,0.001140366,0.0002201526,0.005477364,0.005408117,0.9749556],"genre_scores_gemma":[0.0003817504,0.001560585,0.003138301,0.0008182505,0.0001544364,0.00009331885,0.002437089,0.0008262024,0.9905901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6499041,"threshold_uncertainty_score":0.4993693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641812032102776,"score_gpt":0.3391446997318537,"score_spread":0.3127265794108259,"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."}}