{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002732553,0.0002098196,0.0008675396,0.0002499548,0.0001075408,0.00007958083,0.0006317163,0.0002816261,0.00001469253],"category_scores_gemma":[0.001529233,0.0001427181,0.0005543437,0.0003519817,0.0001195787,0.000005527389,0.0003853823,0.000959024,0.000001983427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205652,"about_ca_system_score_gemma":0.0009524009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001895708,"about_ca_topic_score_gemma":0.000175244,"domain_scores_codex":[0.9972944,0.000404792,0.0009475928,0.0002275119,0.0006894888,0.000436163],"domain_scores_gemma":[0.9983718,0.0002452312,0.000289549,0.000425259,0.0005413045,0.0001267981],"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":[0.00004427394,0.00006191662,0.0001028517,0.001013561,0.0001033388,0.00005756425,0.0001597734,0.00004477621,0.007650373,0.00001790797,0.0003107487,0.9904329],"study_design_scores_gemma":[0.0001624418,0.0003695824,0.00005294605,0.003737553,0.00004255048,0.0002983543,0.001003777,0.00001598539,0.005785752,0.0000116473,0.9883866,0.0001328428],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00276554,0.9962081,0.0003035048,0.00001634423,0.0002257021,0.0002139305,0.000007060364,8.415708e-7,0.0002589354],"genre_scores_gemma":[0.00516102,0.9936595,0.0004871763,0.000001558789,0.0003806673,0.000009179354,0.000009036443,0.00004177379,0.0002500983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9903001,"threshold_uncertainty_score":0.5819876,"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."}}