{"id":"W1659724067","doi":"10.1063/1.2759724","title":"A Hybrid Systems Approach to Hormonal Therapy of Prostate Cancer and its Nonlinear Dynamics","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Princeton University","keywords":"Prostate cancer; Androgen suppression; Hormonal therapy; Computer science; Nonlinear system; Androgen; Hormone; Prostate; Cancer; Medicine; Internal medicine; Physics","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":[0.0002522868,0.0004881202,0.0004104855,0.0003831075,0.0002512881,0.0006573084,0.000457056,0.0006369146,0.001942076],"category_scores_gemma":[0.0003243564,0.0001567043,0.0006499375,0.0002797769,0.0006388157,0.0004984689,0.0005418822,0.0007570277,0.0002576831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673905,"about_ca_system_score_gemma":0.0003925964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137699,"about_ca_topic_score_gemma":0.0009750722,"domain_scores_codex":[0.9998605,0.00005513518,0.000006874125,0.00002449079,0.00004194171,0.00001090432],"domain_scores_gemma":[0.9999052,0.00004980425,0.00001772658,0.000006133783,0.00001432121,0.00000680958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000503312,0.00005366442,0.0006378447,0.0005584628,0.0001405668,0.0005015293,0.0003176806,0.3336542,0.02121483,0.5977218,0.002747181,0.04240184],"study_design_scores_gemma":[0.0000271934,0.000253534,0.0006813174,0.00008126132,0.00008139349,0.0004145405,0.0001007289,0.7818629,0.003009768,0.1771965,0.03624113,0.00004980815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01745274,0.02200919,0.9317294,0.002425994,0.0006628076,0.00004957857,0.00008117043,0.000140868,0.02544818],"genre_scores_gemma":[0.795498,0.03366675,0.1366253,0.0009360263,0.001488511,0.0003831507,0.00009370288,0.00008529369,0.03122298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001942076,"threshold_uncertainty_score":0.006496847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996934118834823,"score_gpt":0.3137290691387632,"score_spread":0.273759727950415,"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."}}