{"id":"W2004052104","doi":"10.1063/1.3526968","title":"Hybrid optimal scheduling for intermittent androgen suppression of prostate cancer","year":2010,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"Japan Society for the Promotion of Science","keywords":"Prostate cancer; Schedule; Population; Medicine; Androgen suppression; Piecewise linear function; Prostate; Prostate-specific antigen; Computer science; Oncology; Internal medicine; Cancer; Urology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004798641,0.0003892931,0.0004691245,0.0002547622,0.0002156944,0.0003354344,0.0006760702,0.0002589505,0.001088622],"category_scores_gemma":[0.001086859,0.0002266514,0.0002913673,0.0002025819,0.0004278937,0.0003177398,0.000470078,0.0003740348,0.0001095738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504051,"about_ca_system_score_gemma":0.0007154264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350619,"about_ca_topic_score_gemma":0.001296354,"domain_scores_codex":[0.9997631,0.00008396428,0.000009957639,0.0000370409,0.00006835955,0.00003746048],"domain_scores_gemma":[0.9996514,0.0001632229,0.00008292942,0.0000284809,0.00003600704,0.00003798274],"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":[0.0001786533,0.00008313136,0.00030587,0.00006097777,0.0000304369,0.00005272332,0.00004146521,0.9489122,0.009484687,0.01352799,0.0005289612,0.02679287],"study_design_scores_gemma":[0.00003424453,0.0001149097,0.0001196459,0.000003021483,0.000009988981,0.00001339371,0.00000629692,0.9938191,0.001238826,0.00411747,0.000517184,0.000005823521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06283347,0.0002663424,0.9337916,0.0001631451,0.00004895198,0.00005137487,0.00002942696,0.0001504067,0.002665217],"genre_scores_gemma":[0.9196774,0.0001497834,0.07852526,0.0000583464,0.00003407794,0.0001150762,0.00002776042,0.00002672215,0.00138551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001350619,"threshold_uncertainty_score":0.003657103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302176430598599,"score_gpt":0.399495556037774,"score_spread":0.3692779129779141,"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."}}