{"id":"W2989322326","doi":"10.1002/cncr.32597","title":"Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model","year":2019,"lang":"en","type":"article","venue":"Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Institute of Dental and Craniofacial Research; Radiological Society of North America; University of Texas MD Anderson Cancer Center; National Institute of Biomedical Imaging and Bioengineering; Royal Australian and New Zealand College of Radiologists; Division of Mathematical Sciences; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Medicine; Radiation therapy; Markov model; Head and neck cancer; Head and neck; Medical physics; Radiology; Surgery; Markov chain; Computer science; Machine learning","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":[0.003844367,0.001073026,0.001718399,0.001221579,0.0007443424,0.002120752,0.002132193,0.002069693,0.006488632],"category_scores_gemma":[0.006597884,0.0009976545,0.00172365,0.0009567336,0.001202852,0.001407988,0.001027115,0.002180715,0.0005260863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003553274,"about_ca_system_score_gemma":0.003875518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02938695,"about_ca_topic_score_gemma":0.02087806,"domain_scores_codex":[0.9983341,0.0006833581,0.0000705111,0.0003875523,0.0001432533,0.0003812321],"domain_scores_gemma":[0.9933364,0.004909309,0.0008844585,0.0001264958,0.0003745256,0.0003687167],"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":[0.0003453796,0.0001479363,0.00900773,0.00006390209,0.00009852182,0.0002881882,0.0001194516,0.9717662,0.0002885713,0.01384865,0.0006444496,0.003380891],"study_design_scores_gemma":[0.0001152546,0.000118555,0.001668892,0.00001919624,0.00006488756,0.00005900585,0.00004299838,0.9921972,0.0001062063,0.005261585,0.0003242645,0.00002180559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6303914,0.001033455,0.3462362,0.005826834,0.000165553,0.0008761958,0.004695492,0.0003259192,0.01044901],"genre_scores_gemma":[0.9760801,0.0004663832,0.01646898,0.000177926,0.00005649408,0.0006077182,0.001045675,0.00001782852,0.005078916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02938695,"threshold_uncertainty_score":0.05843174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510217805691976,"score_gpt":0.3039222628001684,"score_spread":0.2788200847432486,"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."}}