{"id":"W2965726451","doi":"10.2147/ijn.s198684","title":"&lt;p&gt;SERS-based differential diagnosis between multiple solid malignancies: breast, colorectal, lung, ovarian and oral cancer&lt;/p&gt;","year":2019,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Ministerul Cercetării şi Inovării; Universitatea Babeș-Bolyai; Terry Fox Foundation","keywords":"Colorectal cancer; Medicine; Lung; Oncology; Internal medicine; Cancer research; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008434058,0.0005158539,0.0004213688,0.001159861,0.0002062228,0.0006147074,0.00030626,0.0005047952,0.001186457],"category_scores_gemma":[0.001020286,0.0001669306,0.0003360573,0.0004151204,0.000503964,0.0003162294,0.0003388218,0.0003476749,0.0005117106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002685253,"about_ca_system_score_gemma":0.0003616177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007492301,"about_ca_topic_score_gemma":0.001496925,"domain_scores_codex":[0.9995947,0.00008967309,0.00004092644,0.00009732232,0.0001342691,0.00004310632],"domain_scores_gemma":[0.9994611,0.000199816,0.0001675604,0.00003455316,0.00009820364,0.00003879396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001302837,0.0002218502,0.2539745,0.0007592231,0.0001338057,0.001938715,0.0003147656,0.000843753,0.5581489,0.0004453909,0.002079938,0.1798363],"study_design_scores_gemma":[0.00005359771,0.001319928,0.2236808,0.00017397,0.0002308726,0.01250534,0.0007720186,0.02208871,0.7302697,0.0009583924,0.007893572,0.0000529412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562128,0.006130722,0.03057179,0.0007576104,0.0001304419,0.0001373393,0.000449784,0.0003340551,0.005275536],"genre_scores_gemma":[0.9729306,0.001526583,0.02361945,0.0001438641,0.00004189836,0.00004052638,0.0002502282,0.00002420291,0.001422802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001186457,"threshold_uncertainty_score":0.004460394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009015331231139886,"score_gpt":0.3198449279581075,"score_spread":0.3108295967269676,"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."}}