{"id":"W2808723973","doi":"10.3389/fgene.2018.00211","title":"Time Heals all Wounds- but Scars Remain. Can Personalized Medicine Help?","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"University of Toronto","keywords":"Personalized medicine; Genomics; Scars; Medicine; Front (military); Bioinformatics; Biology; Genome; Pathology; Genetics; Engineering; Gene","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":[0.003329641,0.0009624995,0.001557185,0.00083659,0.001922688,0.00541399,0.001190819,0.004438413,0.0233532],"category_scores_gemma":[0.00911794,0.0004285846,0.001373496,0.0008984999,0.004422643,0.007677644,0.00254161,0.007747636,0.01035342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950182,"about_ca_system_score_gemma":0.001892965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867884,"about_ca_topic_score_gemma":0.002588906,"domain_scores_codex":[0.9982834,0.000578697,0.00009658415,0.0002954584,0.0005159023,0.0002299372],"domain_scores_gemma":[0.9956594,0.001625073,0.0007936619,0.0004811285,0.0007057497,0.0007348869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007696735,0.0003970204,0.008716342,0.002464372,0.0004979305,0.00103401,0.001566268,0.001187267,0.0181625,0.09202347,0.3617194,0.5114617],"study_design_scores_gemma":[0.0001289784,0.0004227848,0.006996553,0.002823704,0.0003430599,0.003600307,0.004692556,0.001051673,0.007251781,0.2288276,0.7436842,0.0001766788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01876017,0.1435304,0.03657993,0.7284005,0.01759349,0.00007758063,0.00128791,0.001087505,0.05268259],"genre_scores_gemma":[0.3471004,0.2995676,0.05900479,0.1923505,0.01327212,0.000347091,0.001839602,0.002173848,0.08434418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0233532,"threshold_uncertainty_score":0.07812423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255486918539273,"score_gpt":0.3039326969777769,"score_spread":0.2783840051238496,"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."}}