{"id":"W2125382892","doi":"10.2217/fon.11.63","title":"A New Frontier in Personalized Cancer Therapy: Mapping Molecular Changes","year":2011,"lang":"en","type":"review","venue":"Future Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Cancer; Targeted therapy; Medicine; Computational biology; Precision medicine; Cancer therapy; Personalized medicine; Gene; Cancer research; Bioinformatics; Biology; Genetics; Internal medicine; Pathology","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":[0.001150878,0.001012513,0.002006379,0.002419472,0.0003462784,0.001662391,0.001251362,0.00223842,0.003390061],"category_scores_gemma":[0.0009573929,0.0003031855,0.0005699109,0.001910828,0.001791178,0.003030012,0.0008177543,0.00331707,0.003036996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369783,"about_ca_system_score_gemma":0.0009215324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000856977,"about_ca_topic_score_gemma":0.001018879,"domain_scores_codex":[0.9995545,0.0001377338,0.00002182056,0.00007833345,0.0001747853,0.00003281132],"domain_scores_gemma":[0.9993629,0.0003865015,0.00005235714,0.00003946874,0.0001116831,0.00004725357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008292733,0.0001026268,0.0005281978,0.004553148,0.00008535646,0.0004399797,0.0001117568,0.0007976693,0.01564727,0.03231114,0.04017238,0.9051676],"study_design_scores_gemma":[0.00002050947,0.0001351759,0.0009961081,0.0008985854,0.00005382501,0.003859526,0.0001324831,0.0006763125,0.007024877,0.02178192,0.9643767,0.00004395676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004597678,0.9835512,0.007649792,0.003539263,0.0005242447,0.00001662554,0.00004360919,0.00007658866,0.004138843],"genre_scores_gemma":[0.00454938,0.9847854,0.005340663,0.001537124,0.0006260563,0.0000272793,0.00006004013,0.00001621352,0.003057835],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003390061,"threshold_uncertainty_score":0.01134092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404865134294241,"score_gpt":0.3308658934565992,"score_spread":0.2903793800271751,"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."}}