{"id":"W4282926190","doi":"10.1158/1538-7445.am2022-lb560","title":"Abstract LB560: Engineering genetically-encoded synthetic biomarkers for breath-based cancer detection","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Limonene; Cancer; Mevalonate pathway; HeLa; Carcinogen; Cancer cell; Chemistry; Enzyme; Biochemistry; Reductase; Cancer research; Molecular biology; Biology; Cell; Genetics; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001944908,0.0001699842,0.0001735783,0.000266198,0.0002300078,0.00003031514,0.0003876118,0.00009835398,0.000336645],"category_scores_gemma":[0.000171665,0.0001876236,0.00007912792,0.0006321262,0.0001053891,0.00005014501,0.00009390029,0.0006602297,0.000005603375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362438,"about_ca_system_score_gemma":0.0000375466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073567,"about_ca_topic_score_gemma":0.00002748526,"domain_scores_codex":[0.9982837,0.00001658796,0.0002010219,0.0003442283,0.0004458643,0.0007085297],"domain_scores_gemma":[0.9991212,0.0003335887,0.00001958803,0.0003254547,0.0000991456,0.0001010381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004270848,0.00001016359,0.00001347002,0.0001256771,0.00003266515,0.000003916663,0.00001640195,0.3077216,0.6670539,0.00001070632,0.0002157057,0.02475313],"study_design_scores_gemma":[0.0003407807,0.00004720123,0.000116027,0.00003532893,0.000008700421,0.000001927026,0.00006382493,0.09291551,0.8884836,0.00014017,0.01762913,0.0002177307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840943,0.002861661,0.01004034,0.000535326,0.0004167427,0.0007474415,0.0002188568,0.0009483774,0.0001370044],"genre_scores_gemma":[0.9948289,0.0002069608,0.0009814297,0.00001586207,0.00008850652,0.003739312,0.000007611557,0.00009115283,0.00004027942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2214298,"threshold_uncertainty_score":0.7651068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823218608877286,"score_gpt":0.3289175324730569,"score_spread":0.290685346384284,"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."}}