{"id":"W2077725052","doi":"10.1016/j.pio.2011.06.002","title":"Saliva analysis by Surface-Enhanced Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (SELDI-TOF-MS) in orthodontic treatment: first pilot study","year":2011,"lang":"en","type":"article","venue":"Progress in Orthodontics","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Mass spectrometry; Surface-enhanced laser desorption/ionization; Time-of-flight mass spectrometry; Saliva; Laser; Desorption; Medicine; Chromatography; Ionization; Chemistry; Sample preparation in mass spectrometry; Electrospray ionization; Internal medicine; Optics; Physics; Ion","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":[0.001609595,0.0006007029,0.0007345894,0.0004309805,0.0009167718,0.0004579013,0.0002474652,0.0007145035,0.001090216],"category_scores_gemma":[0.001004564,0.0003208426,0.0005804567,0.0003040684,0.0004932513,0.0004879927,0.000335539,0.0006281065,0.0003599648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042275,"about_ca_system_score_gemma":0.0006102641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142796,"about_ca_topic_score_gemma":0.001222869,"domain_scores_codex":[0.9992692,0.0003933299,0.00003282959,0.00008451458,0.0001582081,0.00006195036],"domain_scores_gemma":[0.9997327,0.00008412467,0.00002824496,0.00002279744,0.00007580595,0.00005631497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01477575,0.005457314,0.07129519,0.0004137834,0.0002358615,0.000847408,0.001340294,0.0002380817,0.8354164,0.0001130064,0.0005689795,0.06929782],"study_design_scores_gemma":[0.001247219,0.1055406,0.3812268,0.00006565705,0.001554652,0.005867491,0.002242107,0.002836888,0.4911671,0.0003394635,0.007801523,0.0001105469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959365,0.00134391,0.001763732,0.0001021196,0.00003620024,0.0002222064,0.0001145536,0.00001878046,0.0004621201],"genre_scores_gemma":[0.9931605,0.001335562,0.003671287,0.0001418365,0.00006232833,0.0002127434,0.0002093461,0.00001347159,0.001193055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001609595,"threshold_uncertainty_score":0.008512437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823677778684831,"score_gpt":0.2818103741513686,"score_spread":0.2435735963645203,"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."}}