{"id":"W1998295128","doi":"10.1007/s00280-009-0965-1","title":"Pre-clinical evaluation of Rh2 in PC-3 human xenograft model for prostate cancer in vivo: formulation, pharmacokinetics, biodistribution and efficacy","year":2009,"lang":"en","type":"article","venue":"Cancer Chemotherapy and Pharmacology","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia; University of British Columbia Hospital; Vancouver General Hospital","funders":"Health Canada","keywords":"Biodistribution; Pharmacokinetics; Prostate cancer; In vivo; Medicine; Cancer; Prostate; Pharmacology; Distribution (mathematics); Oncology; Internal medicine; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007659828,0.0005043713,0.0005239939,0.000247868,0.0002269005,0.0004241893,0.0003738997,0.0002884406,0.002862976],"category_scores_gemma":[0.0002839359,0.000207185,0.0004043312,0.0002651486,0.0003252969,0.0003795392,0.0001467414,0.0008411022,0.0008609102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399978,"about_ca_system_score_gemma":0.0005822107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307771,"about_ca_topic_score_gemma":0.002735663,"domain_scores_codex":[0.9997756,0.00009399018,0.00000961254,0.00003062963,0.00004764458,0.00004244727],"domain_scores_gemma":[0.9998477,0.00002789853,0.00002246063,0.00003070847,0.0000302797,0.00004105965],"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":[0.01120976,0.004722065,0.001240289,0.000235501,0.00007753632,0.0001560727,0.000158985,0.001111676,0.9526706,0.0002566161,0.001090579,0.02707026],"study_design_scores_gemma":[0.000948267,0.05804788,0.006757853,0.00001648433,0.0001705243,0.0003865186,0.0001229766,0.001933327,0.9195502,0.00009468343,0.01194882,0.00002236809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873359,0.002092756,0.005270211,0.0002381859,0.00008814637,0.0007075088,0.0009634345,0.000209693,0.003094149],"genre_scores_gemma":[0.9861013,0.001357367,0.003592677,0.000115455,0.00003559751,0.0003112325,0.001501822,0.0000963644,0.00688824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002862976,"threshold_uncertainty_score":0.009577632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347664029488311,"score_gpt":0.4315106341974881,"score_spread":0.388033993902605,"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."}}