{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994564,0.0004260121,0.0002291075,0.0002626081,0.0001112653,0.0004509847,0.0004842354,0.0005643968,0.001173827],"category_scores_gemma":[0.0002337878,0.0001871983,0.0002940362,0.0002109239,0.0002933835,0.0002836336,0.0003536032,0.0004239894,0.000827732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329491,"about_ca_system_score_gemma":0.0002282478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008042012,"about_ca_topic_score_gemma":0.000638532,"domain_scores_codex":[0.9998127,0.00002817101,0.00002058387,0.00005468519,0.00006113346,0.00002273008],"domain_scores_gemma":[0.9998583,0.0000221137,0.00005702776,0.00001659332,0.00002049142,0.00002551196],"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":[0.00003668883,0.00001378927,0.00008585901,0.00003039254,0.000002711176,0.00001459531,0.000005337122,0.0001619955,0.9984976,0.00009571415,0.00003110259,0.001024217],"study_design_scores_gemma":[0.00001009197,0.0001408072,0.0003208496,0.000005561157,0.000008100663,0.00005285102,0.000006736379,0.001842815,0.9949569,0.00002546041,0.002624261,0.000005648652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236297,0.001741072,0.06692879,0.0003998677,0.0001313952,0.0003022596,0.002045693,0.001039787,0.003781511],"genre_scores_gemma":[0.915009,0.001161832,0.07183442,0.0001378935,0.00001771156,0.0001860022,0.001835371,0.0001721213,0.009645732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001173827,"threshold_uncertainty_score":0.003926814,"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."}}