{"id":"W3202000232","doi":"10.1038/s41598-021-99228-6","title":"Characterization of autofluorescence and quantitative protoporphyrin IX biomarkers for optical spectroscopy-guided glioma surgery","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Westfälische Wilhelms-Universität Münster; Carl Zeiss Meditec AG","keywords":"Protoporphyrin IX; Autofluorescence; Glioma; Pathology; Medicine; Chemistry; Fluorescence; Protoporphyrin; Nuclear magnetic resonance; Nuclear medicine; Photodynamic therapy; Porphyrin; Cancer research; Optics; Photochemistry","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":[0.0005723766,0.000124247,0.0002397053,0.0001536347,0.00007894439,0.0001100965,0.0000461723,0.0000581789,0.0000225589],"category_scores_gemma":[0.000271116,0.000124967,0.00007716276,0.000517503,0.000180467,0.0002243428,0.00002528761,0.00004595108,0.000001352984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004766564,"about_ca_system_score_gemma":0.0001522731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002171037,"about_ca_topic_score_gemma":0.000003678629,"domain_scores_codex":[0.9986398,0.000007890939,0.0005080561,0.0003603068,0.000246005,0.0002379185],"domain_scores_gemma":[0.9991322,0.00008606855,0.0001426125,0.0003441664,0.0002191064,0.00007589332],"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":[0.00001434483,0.00002027935,0.001285646,0.0002343198,0.00004152356,0.0001140036,0.0001186192,0.00002240662,0.9968588,0.0002548866,0.0004938971,0.0005413011],"study_design_scores_gemma":[0.00009434423,0.00001623074,0.002152045,0.00009251048,0.00001835326,0.0001398466,0.00002800081,0.002213059,0.9923673,0.001569522,0.00117,0.0001388365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778117,0.0001390151,0.01794511,0.00002794087,0.003279748,0.0005975267,0.00001948955,0.00008264589,0.00009680149],"genre_scores_gemma":[0.9849656,0.00001721687,0.01456186,0.000003848033,0.00003369173,0.00009559698,0.0001782662,0.00003391473,0.0001099992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007153886,"threshold_uncertainty_score":0.5096006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238296073643517,"score_gpt":0.261489757338967,"score_spread":0.2391067966025318,"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."}}