{"id":"W7100683269","doi":"","title":"Available online at www.sciencedirect.com TARGETED MASS spectrometry Imaging: Specific Targeting Mass Spectrometry imaging technologies from history to perspective","year":2016,"lang":"en","type":"article","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass spectrometry; Perspective (graphical); Mass spectrometry imaging; Medical imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005840393,0.000627151,0.0004203151,0.00187082,0.0007362134,0.00297551,0.00105732,0.002371058,0.224653],"category_scores_gemma":[0.0008117754,0.0003004616,0.0002402289,0.001163056,0.0008340258,0.002259935,0.001039588,0.00117722,0.1272604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160964,"about_ca_system_score_gemma":0.0009534563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287209,"about_ca_topic_score_gemma":0.004383901,"domain_scores_codex":[0.9996921,0.00002322274,0.00001494932,0.00004078392,0.0002039037,0.00002516378],"domain_scores_gemma":[0.9993982,0.00009163543,0.00005227647,0.00004061771,0.0002209635,0.0001961805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009294633,0.00008119635,0.0007347638,0.0006654683,0.00001604466,0.0006949224,0.00006567003,0.0002245526,0.01948322,0.00935939,0.2584557,0.7101261],"study_design_scores_gemma":[0.000004422437,0.00003159685,0.000520217,0.000138902,0.000004865669,0.001116224,0.00005774316,0.000172323,0.00415026,0.003113381,0.9906774,0.00001272697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005675559,0.122153,0.03205217,0.0351322,0.009587372,0.00009272595,0.001401008,0.002809228,0.7910967],"genre_scores_gemma":[0.02624048,0.08861816,0.01488631,0.009708422,0.004475883,0.00004605674,0.001192845,0.0006795651,0.8541523],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.224653,"threshold_uncertainty_score":0.7515392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019436761104413,"score_gpt":0.2030311892043535,"score_spread":0.1928368215933094,"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."}}