{"id":"W1712892947","doi":"10.3233/bsi-120029","title":"A comparison of spectroscopic techniques for human breath analysis","year":2012,"lang":"en","type":"article","venue":"Biomedical Spectroscopy and Imaging","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Breath gas analysis; Pattern recognition (psychology); Computer science; Artificial intelligence; Biological system; Computational biology; Chemistry; Chromatography; Biology","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":[0.00006005122,0.0001472764,0.0003826803,0.0001994515,0.00005712838,0.00001240232,0.0001205948,0.0000737576,0.00003279164],"category_scores_gemma":[0.00003336259,0.0001314845,0.00008306273,0.0003860417,0.0002461726,0.0001055065,0.00003783323,0.0001411646,9.534851e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006394758,"about_ca_system_score_gemma":0.00000143039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007988468,"about_ca_topic_score_gemma":9.52521e-7,"domain_scores_codex":[0.9990457,0.000005142098,0.0002738463,0.0001470738,0.0001242091,0.0004040368],"domain_scores_gemma":[0.9996163,0.00005400999,0.0000484818,0.000161404,0.0000141807,0.0001056314],"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":[0.000003493108,0.0000548387,0.04049817,0.00006544655,0.00008121211,2.409316e-7,0.00005849406,0.000001231084,0.9549419,0.0009699973,0.0002982502,0.003026694],"study_design_scores_gemma":[0.000133388,0.00004897786,0.002945975,0.00001945866,0.0001483804,0.000001387275,0.00009420398,0.001982553,0.9898286,0.001426105,0.003223949,0.0001469508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992059,0.002526822,0.2959453,0.0001538421,0.00007872494,0.00020594,0.000018294,0.0008587489,0.001006511],"genre_scores_gemma":[0.9572846,0.00005096664,0.04247044,0.00001312058,0.0001130855,0.00002192587,0.00002007682,0.00001719218,0.000008623562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2580787,"threshold_uncertainty_score":0.5361784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259060107866115,"score_gpt":0.3304191715446673,"score_spread":0.3178285704660062,"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."}}