{"id":"W2127778583","doi":"10.1093/jmcb/mjs020","title":"Quantitative mathematical modeling of PSA dynamics of prostate cancer patients treated with intermittent androgen suppression","year":2012,"lang":"en","type":"article","venue":"Journal of Molecular Cell Biology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Council for Science and Technology Policy; Liber Ero Foundation; University of Tokyo; University of Washington; National Cancer Institute; Prostate Cancer Foundation","keywords":"Androgen suppression; Prostate cancer; Androgen; Biomarker; Disease; Prostate-specific antigen; Medicine; Oncology; Cancer; Bioinformatics; Hormone; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077813,0.0006393851,0.0008416116,0.0005827287,0.0005357831,0.001321235,0.001152967,0.001598977,0.002307678],"category_scores_gemma":[0.003305165,0.0004561997,0.001026895,0.0004971438,0.001185273,0.0009702482,0.0009619674,0.001117475,0.0002342582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235987,"about_ca_system_score_gemma":0.001108409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386545,"about_ca_topic_score_gemma":0.004891678,"domain_scores_codex":[0.9997293,0.00009927346,0.00001183128,0.00004194829,0.00005059621,0.00006698295],"domain_scores_gemma":[0.998634,0.0007662172,0.0002701714,0.00004416534,0.0001674056,0.0001180361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003121132,0.00002741419,0.001080041,0.00002474536,0.00001790238,0.000115651,0.00007179105,0.9784791,0.0008603145,0.01799307,0.0003680665,0.0009307205],"study_design_scores_gemma":[0.000006041527,0.00001061851,0.0002046568,0.000002553344,0.00000461012,0.00001409465,0.00001100051,0.997546,0.00004439054,0.002021827,0.0001281411,0.000005950443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4991942,0.002032906,0.4538955,0.006871707,0.0002545928,0.0001679187,0.001187198,0.0004642241,0.03593182],"genre_scores_gemma":[0.981791,0.000642788,0.007288348,0.00026758,0.0000771259,0.0001603387,0.0002685835,0.00006100492,0.009443182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01386545,"threshold_uncertainty_score":0.02756947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306377038352779,"score_gpt":0.3225468162673696,"score_spread":0.2994830458838418,"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."}}