{"id":"W4211150022","doi":"10.3389/fdmed.2022.814603","title":"Application of Proteomics in Apical Periodontitis","year":2022,"lang":"en","type":"article","venue":"Frontiers in Dental Medicine","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Mount Sinai Hospital; University of Toronto","funders":"Faculty of Dentistry, University of Toronto; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Periodontitis; Proteomics; Biomarker; Biomarker discovery; Pathology; Root canal; Metabolomics; Computational biology; Bioinformatics; Medicine; Quantitative proteomics; Biology; Dentistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002260596,0.0006719173,0.0005616837,0.002807222,0.0006609972,0.001601999,0.0005413778,0.001697939,0.001080781],"category_scores_gemma":[0.0009989005,0.0003341862,0.0005704285,0.002419026,0.0007717899,0.0009799583,0.001130859,0.0008881815,0.0007680928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443792,"about_ca_system_score_gemma":0.0007447933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007654651,"about_ca_topic_score_gemma":0.0005509297,"domain_scores_codex":[0.9988423,0.0004653141,0.0000697338,0.000274931,0.0002513691,0.00009629489],"domain_scores_gemma":[0.9995316,0.0001206897,0.00008825007,0.00004994838,0.0001476876,0.00006184017],"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":[0.0005132922,0.0003131298,0.009814827,0.0029226,0.0001949622,0.001620962,0.0004678569,0.0007518213,0.7929707,0.006260271,0.003326179,0.1808434],"study_design_scores_gemma":[0.0001294886,0.002215648,0.1288524,0.001345848,0.0005919905,0.02328874,0.0025728,0.01442621,0.6124101,0.02365261,0.1901996,0.0003146066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.312755,0.4571926,0.1820407,0.01011953,0.00259598,0.0005266629,0.001820967,0.001297302,0.03165141],"genre_scores_gemma":[0.6935934,0.1642253,0.130941,0.003517829,0.001063651,0.000315649,0.0006803132,0.00006299647,0.005599908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002807222,"threshold_uncertainty_score":0.01195532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00814372934532383,"score_gpt":0.2576799822296211,"score_spread":0.2495362528842972,"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."}}