{"id":"W3099426925","doi":"10.1021/acsnano.0c06104","title":"Prediction of Cancer Stem Cell Fate by Surface-Enhanced Raman Scattering Functionalized Nanoprobes","year":2020,"lang":"en","type":"article","venue":"ACS Nano","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Nanoprobe; Cancer stem cell; Malignancy; Cancer; Cancer cell; Cancer research; Cancer biomarkers; Nanotechnology; Materials science; Medicine; Pathology; Internal medicine; Nanoparticle","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009405156,0.0001058166,0.0001762039,0.00001177302,0.0001119202,0.00003799946,0.0001627339,0.0000438264,0.0006348306],"category_scores_gemma":[0.000003855448,0.00009204939,0.00004643826,0.0001567663,0.00006515032,0.0001315336,0.00004660581,0.00003602882,0.0001067547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000195969,"about_ca_system_score_gemma":0.00003018074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008025097,"about_ca_topic_score_gemma":0.000003537369,"domain_scores_codex":[0.9990582,0.00003414037,0.0002785483,0.000264954,0.0001852165,0.0001789708],"domain_scores_gemma":[0.9995434,0.00002914403,0.0001301783,0.0001547723,0.00006104591,0.00008140517],"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":[0.00002682307,0.00005015459,0.0006198568,0.00003795521,0.000005967369,1.03981e-7,0.0002560595,0.0002776827,0.9955249,0.00006637094,0.002094553,0.001039577],"study_design_scores_gemma":[0.0003336743,0.0000403378,0.0003874463,0.000022683,0.00002236115,1.517061e-7,0.00009910402,0.0001545569,0.9922769,0.00002229117,0.006554017,0.00008646357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997387,0.0005282296,0.0003071839,0.0008478329,0.0001333429,0.000173646,0.0001970884,0.00008108532,0.0003445718],"genre_scores_gemma":[0.9988472,0.0001056266,0.0001714026,0.0001870843,0.00005152257,0.0000466267,0.000009870154,0.00001312171,0.000567541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004459464,"threshold_uncertainty_score":0.695095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613754795407725,"score_gpt":0.2277336950069448,"score_spread":0.2015961470528676,"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."}}