{"id":"W2545736115","doi":"10.18632/oncotarget.12932","title":"Personalized anticancer therapy selection using molecular landscape topology and thermodynamics","year":2016,"lang":"en","type":"article","venue":"Oncotarget","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Library science; Oncology; Internal medicine; Medical physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007606908,0.0004491195,0.0008593955,0.001161567,0.0003382316,0.001612003,0.0005255793,0.0006797519,0.001317461],"category_scores_gemma":[0.00464764,0.0004020962,0.0006568268,0.0004941812,0.0005573945,0.001570785,0.0008515457,0.0005897001,0.0003176508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009926939,"about_ca_system_score_gemma":0.0004954408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145887,"about_ca_topic_score_gemma":0.001718542,"domain_scores_codex":[0.9997258,0.0001136959,0.00001289682,0.00005065966,0.00007416728,0.00002291211],"domain_scores_gemma":[0.9989641,0.0005966141,0.0001818593,0.00007021595,0.0001142095,0.00007308869],"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":[0.0002136564,0.00009091706,0.00864471,0.0002008438,0.0001536124,0.000209729,0.00008196926,0.8608266,0.0124043,0.02893669,0.002522413,0.08571457],"study_design_scores_gemma":[0.00001836017,0.00005241351,0.001522928,0.00001511371,0.00002158625,0.00006189588,0.00001938166,0.978017,0.0009277965,0.01829049,0.001030966,0.00002204832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4081141,0.006724309,0.5561681,0.00405689,0.0002201477,0.0002512258,0.0005747206,0.001047161,0.02284331],"genre_scores_gemma":[0.9695935,0.001140229,0.02743132,0.0002040279,0.00008924827,0.0000931879,0.0001617624,0.00009511081,0.001191624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001612003,"threshold_uncertainty_score":0.007202566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007909919099786372,"score_gpt":0.2461596253865975,"score_spread":0.2382497062868111,"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."}}