{"id":"W2802536442","doi":"10.1039/c8an00094h","title":"How iMALDI can improve clinical diagnostics","year":2018,"lang":"en","type":"review","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Computer science","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":[0.000300562,0.0003268548,0.001021825,0.00003002089,0.0001724223,0.00009640629,0.0009958798,0.0003798273,0.0000646943],"category_scores_gemma":[0.0002111635,0.000199635,0.0007663468,0.000202682,0.0002554019,0.00002341004,0.000251032,0.0007828074,0.00006492642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007425165,"about_ca_system_score_gemma":0.0001342173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002543334,"about_ca_topic_score_gemma":0.00002364356,"domain_scores_codex":[0.9985287,0.0000453826,0.0005763247,0.0004513456,0.000137136,0.0002611062],"domain_scores_gemma":[0.9971116,0.000496625,0.0006594218,0.001571118,0.00006459061,0.00009666254],"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":[0.000001573362,0.00005071818,0.000007457266,0.001829619,0.0003274389,0.000005037189,0.000006599153,2.506692e-8,0.000004955215,0.001464759,0.01500906,0.9812928],"study_design_scores_gemma":[0.00003503578,0.00001233564,8.65057e-8,0.0009100288,0.001294208,0.000007668408,0.000007845294,0.000005558237,0.0000703055,0.001310842,0.996103,0.0002430273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002883152,0.9942936,0.002053917,0.0003116768,0.00005124433,0.0003198661,0.0003067853,0.000119217,0.002540868],"genre_scores_gemma":[0.000006087086,0.98919,0.002788504,0.00006433109,0.001549149,0.0004204932,0.0002308056,0.00006561028,0.005685011],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.981094,"threshold_uncertainty_score":0.8140879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.070021080916411,"score_gpt":0.4023072855944098,"score_spread":0.3322862046779987,"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."}}