{"id":"W2105678385","doi":"10.3390/cancers2021066","title":"Reinventing Diagnostics for Personalized Therapy in Oncology","year":2010,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Provincial Health Services Authority; BC Cancer Agency","funders":"","keywords":"Medicine; Concordance; Grading (engineering); Personalized medicine; Precision medicine; Lung cancer; Targeted therapy; Breast cancer; Cancer; Oncology; Medical physics; Intensive care medicine; Internal medicine; Bioinformatics; Pathology","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":[0.01115687,0.0008772308,0.00142159,0.00199982,0.0008704325,0.004250026,0.001511686,0.004862535,0.004083785],"category_scores_gemma":[0.009257581,0.0003817371,0.0006267399,0.001454914,0.006718014,0.01012185,0.002862118,0.006131554,0.002271615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206234,"about_ca_system_score_gemma":0.003225161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008940864,"about_ca_topic_score_gemma":0.001557832,"domain_scores_codex":[0.9955154,0.00262556,0.0002640758,0.0002699446,0.001053362,0.0002717333],"domain_scores_gemma":[0.9909253,0.005775519,0.0005997145,0.0008524588,0.001202463,0.0006445411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000129946,0.0001528903,0.002630426,0.001803545,0.00007792519,0.0005467171,0.0006039056,0.001428273,0.007408749,0.2426633,0.0722049,0.6703494],"study_design_scores_gemma":[0.00003300168,0.0002133308,0.002147713,0.0008764238,0.00005283652,0.001927462,0.0008566788,0.001161499,0.003428863,0.2358714,0.75335,0.00008094119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006464493,0.564,0.1040669,0.2901797,0.01113112,0.0001162598,0.0002244296,0.0006659694,0.02315111],"genre_scores_gemma":[0.08962242,0.562258,0.2364972,0.0817583,0.01507777,0.0002276176,0.0003577576,0.0002354424,0.01396543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01115687,"threshold_uncertainty_score":0.05900389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801820864057298,"score_gpt":0.3008554294920868,"score_spread":0.2828372208515138,"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."}}