{"id":"W6922114314","doi":"10.11575/prism/39679","title":"Using CRISPR-Cas9 to Generate Isogenic Controls from DCMA Patient-Derived Induced Pluripotent Stem Cells","year":2022,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Induced pluripotent stem cell; CRISPR; Mutation; Genome editing; Phenotype; Peripheral blood mononuclear cell; HEK 293 cells; Stem cell; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001074129,0.0005371261,0.0004412986,0.000700602,0.0004924801,0.001033352,0.0009742694,0.0008783587,0.003912894],"category_scores_gemma":[0.0007152441,0.000427607,0.0005883827,0.000340181,0.0005050917,0.0003446054,0.0007760692,0.001469116,0.001900671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810044,"about_ca_system_score_gemma":0.0007488678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126209,"about_ca_topic_score_gemma":0.001895694,"domain_scores_codex":[0.9988202,0.00009595487,0.0001858183,0.0003417759,0.0004611851,0.00009496792],"domain_scores_gemma":[0.9995582,0.00008679044,0.00009307641,0.00012679,0.00008320154,0.00005203775],"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":[0.00008596123,0.0001007275,0.0005585201,0.0001506832,0.0000247106,0.0004643675,0.0001790102,0.0004872316,0.9817167,0.002308805,0.001011991,0.01291129],"study_design_scores_gemma":[0.00004831334,0.0003350117,0.001755835,0.00005368935,0.0000618476,0.001187345,0.00008734745,0.002219605,0.9409146,0.0005025923,0.05279306,0.00004073637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5242615,0.002708573,0.4143898,0.001037772,0.001569516,0.003956737,0.009658531,0.006632433,0.03578513],"genre_scores_gemma":[0.7616882,0.003092413,0.1763197,0.0008355887,0.00008276462,0.00340285,0.01534548,0.001608754,0.03762427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003912894,"threshold_uncertainty_score":0.01308995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09837665442024475,"score_gpt":0.3151279883322145,"score_spread":0.2167513339119698,"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."}}