{"id":"W3157518524","doi":"10.15173/sciential.v1i4.2406","title":"Could a Methyl Group Predict Your Risk of Depression?","year":2020,"lang":"en","type":"article","venue":"Sciential - McMaster Undergraduate Science Journal","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurochemical; Biomarker; Depression (economics); Serotonin transporter; Major depressive disorder; DNA methylation; Diagnostic biomarker; Psychology; Medicine; Oncology; Gene; Bioinformatics; Psychiatry; Clinical psychology; Gene expression; Neuroscience; Genetics; Biology; Cognition; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007653692,0.0003843994,0.0003710225,0.0007620415,0.0004114262,0.000718612,0.0003784524,0.001478707,0.005716273],"category_scores_gemma":[0.00482318,0.0001913322,0.0005882072,0.0006822512,0.0003381767,0.0006744125,0.0002573205,0.001123897,0.001700481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426889,"about_ca_system_score_gemma":0.0002309643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921842,"about_ca_topic_score_gemma":0.006306593,"domain_scores_codex":[0.9997873,0.0000693918,0.00002331251,0.00004957383,0.00004265505,0.00002776488],"domain_scores_gemma":[0.9990444,0.0002552833,0.000257701,0.00007361855,0.0001810642,0.0001879679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005035426,0.00007070023,0.9642707,0.00008052272,0.0003044561,0.0001433123,0.0001092279,0.0001250923,0.0007289953,0.0002661697,0.003710261,0.0296871],"study_design_scores_gemma":[0.00006368471,0.0006504624,0.9811819,0.0001633714,0.0006819857,0.001451111,0.0004612887,0.001772105,0.001136642,0.002660323,0.009734055,0.00004304469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454951,0.0149032,0.001853805,0.02268147,0.000881597,0.00005575553,0.004828259,0.00009143571,0.00920938],"genre_scores_gemma":[0.9896031,0.003153604,0.001333521,0.001591573,0.0003874393,0.00001986732,0.0008782321,0.000009930625,0.003022818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005716273,"threshold_uncertainty_score":0.01912278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997822218404977,"score_gpt":0.2795538930602703,"score_spread":0.2595756708762205,"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."}}