{"id":"W1985240989","doi":"10.1021/ac5011876","title":"Imaging Mass Spectrometry of Diversified Cardiolipin Molecular Species in the Brain","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de la Santé et de la Recherche Médicale; National Institute of Environmental Health Sciences; National Institute for Occupational Safety and Health; Cancer Institute, University of Pittsburgh; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Fulbright Canada","keywords":"Chemistry; Mass spectrometry imaging; Cardiolipin; Biochemistry; Glycerophospholipid; Hippocampal formation; Mass spectrometry; Chromatography; Phospholipid; Neuroscience; Membrane","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066091,0.0004342632,0.0001594789,0.0007064726,0.000286575,0.0003357057,0.0003401238,0.0004784516,0.0007381975],"category_scores_gemma":[0.0002744081,0.0001485322,0.0001301092,0.0002751151,0.0002375515,0.0004597722,0.0003370863,0.0004650936,0.0003482271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623168,"about_ca_system_score_gemma":0.0002494636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005871797,"about_ca_topic_score_gemma":0.0009938821,"domain_scores_codex":[0.9999353,0.000008270164,0.000003556934,0.00002214533,0.00001613802,0.00001469769],"domain_scores_gemma":[0.9998901,0.00002131973,0.00002394861,0.000007291456,0.00003267324,0.00002472379],"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":[0.00002395467,0.000004002834,0.0002201547,0.00002912775,0.000004057495,0.00005232695,0.00001615396,0.00002629579,0.9975986,0.00005645248,0.00003661461,0.001932351],"study_design_scores_gemma":[0.00001253128,0.0001147126,0.008971445,0.00001616887,0.00002816285,0.001194297,0.00009560428,0.002576264,0.9851238,0.0003479299,0.001508099,0.00001096499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282579,0.004883849,0.06282566,0.0005399333,0.00003925179,0.00007471176,0.0007632698,0.000417762,0.00219764],"genre_scores_gemma":[0.9039286,0.007385962,0.0835347,0.000492634,0.00005093809,0.0001674251,0.0006841705,0.0001155245,0.003640029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007381975,"threshold_uncertainty_score":0.00246954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009001201972375724,"score_gpt":0.2420812621398868,"score_spread":0.2330800601675111,"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."}}