{"id":"W3122900175","doi":"10.1111/jre.12846","title":"The role of CRISPR‐Cas in advancing precision periodontics","year":2021,"lang":"en","type":"review","venue":"Journal of Periodontal Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Mount Sinai Hospital; McMaster University; University of Toronto","funders":"","keywords":"CRISPR; Periodontology; Periodontitis; Biology; Computational biology; Cas9; Genome editing; Gene; Genetics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002852754,0.000695187,0.0007680163,0.001209326,0.0004419062,0.00191218,0.0007735083,0.001669421,0.002229884],"category_scores_gemma":[0.002652233,0.0004199426,0.0007752865,0.0006746793,0.001740327,0.001751304,0.001319037,0.003166497,0.0009921853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016511,"about_ca_system_score_gemma":0.001906099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104039,"about_ca_topic_score_gemma":0.001143299,"domain_scores_codex":[0.9982613,0.0004777007,0.0001974991,0.0002292991,0.0006854731,0.0001487688],"domain_scores_gemma":[0.9985332,0.0007260289,0.0001764817,0.00008010548,0.000320639,0.0001633475],"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":[0.0003071287,0.0001041982,0.001286538,0.006983185,0.0001669004,0.001145594,0.0005379707,0.00356796,0.09215326,0.1113976,0.0346354,0.7477143],"study_design_scores_gemma":[0.00009418986,0.0007431938,0.001954942,0.001900175,0.0001808346,0.003607364,0.0003672065,0.003963056,0.07431158,0.04081497,0.8718811,0.0001813589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01775272,0.7838461,0.1278583,0.02697445,0.005607207,0.0002552007,0.0005048073,0.001663051,0.0355381],"genre_scores_gemma":[0.1213302,0.7555429,0.1015152,0.008281752,0.002145974,0.0002294529,0.0005202964,0.0001752966,0.01025877],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002852754,"threshold_uncertainty_score":0.01508701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362878426151804,"score_gpt":0.4646978205324707,"score_spread":0.4284099779172902,"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."}}