{"id":"W2554180340","doi":"10.1038/srep36814","title":"Assessment of pathological response to therapy using lipid mass spectrometry imaging","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal","funders":"Canadian Cancer Society Research Institute; McGill University Health Centre","keywords":"Pathological; Medicine; Mass spectrometry imaging; Lipidome; Chemotherapy; Colorectal cancer; Metastasis; Pathology; Cancer; Oncology; Radiology; Internal medicine; Mass spectrometry; Lipid metabolism; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850153,0.0004276865,0.0002904155,0.0009072103,0.0001805115,0.0005534147,0.0002208975,0.0004861671,0.0007305852],"category_scores_gemma":[0.001018263,0.0001478544,0.0002815746,0.0004078884,0.0002707496,0.0004011912,0.0003563877,0.0003800602,0.0003440924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751707,"about_ca_system_score_gemma":0.0002328211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006117897,"about_ca_topic_score_gemma":0.0006494048,"domain_scores_codex":[0.9998289,0.00004052035,0.00001155329,0.00003755456,0.00006641083,0.00001497221],"domain_scores_gemma":[0.9996859,0.0001011151,0.0001052209,0.00002890501,0.00005497293,0.0000239519],"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":[0.0005752476,0.0001093028,0.02553967,0.0001306153,0.00009443871,0.0001781626,0.00008516049,0.009885849,0.9297292,0.0004679309,0.0003451461,0.03285934],"study_design_scores_gemma":[0.00004430998,0.0005392128,0.05615486,0.00002263374,0.0001155739,0.0006533065,0.0001844915,0.1812906,0.7565873,0.001985519,0.002357787,0.00006450262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820168,0.001425368,0.1120315,0.0004373803,0.00004775807,0.0001098287,0.0008350356,0.0005752442,0.002520981],"genre_scores_gemma":[0.9512379,0.0009648147,0.04631056,0.0001118116,0.00001731821,0.00005761619,0.000436978,0.00005556807,0.0008074609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009072103,"threshold_uncertainty_score":0.003093898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315861619264362,"score_gpt":0.3236085421868638,"score_spread":0.3004499259942202,"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."}}