{"id":"W4402635099","doi":"10.1038/s41416-024-02739-y","title":"Testing of rapid evaporative mass spectrometry for histological tissue classification and molecular diagnostics in a multi-site study","year":2024,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"Medical Research Council; Maastricht Universitair Medisch Centrum","keywords":"Breast cancer; Multivariate statistics; Multivariate analysis; Medicine; Pathology; Computational biology; Cancer; Ex vivo; Oncology; Bioinformatics; Computer science; Biology; In vivo; Internal medicine; Machine learning; Genetics","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":[0.01307091,0.001060576,0.0006583325,0.001311569,0.0005710663,0.001112156,0.001289201,0.001250874,0.001515265],"category_scores_gemma":[0.009192582,0.0004176995,0.0008180899,0.0006812189,0.001013876,0.0006205755,0.00118148,0.0006543716,0.00098112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357692,"about_ca_system_score_gemma":0.0005200746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697903,"about_ca_topic_score_gemma":0.00240628,"domain_scores_codex":[0.9934702,0.00269834,0.0003029966,0.001530571,0.001709201,0.0002887381],"domain_scores_gemma":[0.9925299,0.002658586,0.001030928,0.001477672,0.001923107,0.0003797552],"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":[0.002483151,0.001080253,0.1340235,0.0003851946,0.0005979943,0.0003236546,0.0007253893,0.008173944,0.7916713,0.0003230478,0.0005361143,0.05967651],"study_design_scores_gemma":[0.0001289536,0.01028936,0.2462446,0.00007181068,0.0006425154,0.002373647,0.001133986,0.0748436,0.6597869,0.0007823838,0.003514121,0.0001881141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949257,0.0004912654,0.101144,0.0001973062,0.00007213402,0.0006130158,0.0006985418,0.0005854857,0.001272547],"genre_scores_gemma":[0.8956929,0.0002224797,0.1019197,0.000141956,0.00003214567,0.0003773294,0.0006792878,0.0001362056,0.0007979033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307091,"threshold_uncertainty_score":0.06912643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240399167928115,"score_gpt":0.345829162978692,"score_spread":0.3034251712994109,"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."}}