{"id":"W2424236023","doi":"10.1002/pmic.201500490","title":"Three‐dimensional imaging MS of lipids in atherosclerotic plaques: Open‐source methods for reconstruction and analysis","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Visualization; Computer science; Segmentation; Open source; Sample (material); Software; Artificial intelligence; Data science; Computer vision; Pattern recognition (psychology); Chemistry; Chromatography","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":[0.0007028476,0.0001035922,0.0002635115,0.0001120608,0.00005155998,0.00001539047,0.0001217199,0.00005720167,0.000008559641],"category_scores_gemma":[0.0002313259,0.00007658402,0.00007622562,0.0001428734,0.00009174444,0.000007058898,0.0001927324,0.00003748511,1.860512e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373879,"about_ca_system_score_gemma":0.00002644322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005473868,"about_ca_topic_score_gemma":0.00009868426,"domain_scores_codex":[0.9992324,0.00005591296,0.0002322857,0.0002946468,0.00003706019,0.0001476914],"domain_scores_gemma":[0.9995425,0.00004780485,0.0001300023,0.000182328,0.00006615261,0.0000311811],"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":[0.0001215378,0.00002283435,0.06174148,0.00001441632,0.0002003804,4.248602e-8,0.000017324,0.00001339018,0.8875746,0.0003205523,0.0000237746,0.04994966],"study_design_scores_gemma":[0.002596648,0.0002687325,0.03507951,0.00006005184,0.0002600656,0.00001153717,0.00006107129,0.005950995,0.9458328,0.006227569,0.003270538,0.0003804257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6073628,0.0004527065,0.3915876,0.000123488,0.00005001094,0.0003581654,0.00001782504,0.000002613878,0.00004478662],"genre_scores_gemma":[0.4542853,0.0003003687,0.5450626,0.00004950891,0.00006444332,0.0001155094,0.00001134788,0.00001686483,0.00009407006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.153475,"threshold_uncertainty_score":0.3123006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820645583292388,"score_gpt":0.3074934798801154,"score_spread":0.2892870240471916,"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."}}