{"id":"W2792416096","doi":"10.1373/clinchem.2017.278317","title":"Counterpoint: The Potential Harms of Human Gene Editing Using CRISPR-Cas9","year":2018,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Counterpoint; CRISPR; Genome editing; Computational biology; Biology; Gene; Computer science; Genetics; Psychology","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":[0.007163874,0.0009725936,0.000747486,0.0008840376,0.001213632,0.003181098,0.001471954,0.006124807,0.01426576],"category_scores_gemma":[0.01794006,0.0002563826,0.001071985,0.0004062186,0.004330426,0.003483673,0.002846889,0.008496274,0.003196456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009509451,"about_ca_system_score_gemma":0.001573792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009553641,"about_ca_topic_score_gemma":0.001460485,"domain_scores_codex":[0.9942087,0.001770278,0.0003328367,0.0009903862,0.002425031,0.0002728621],"domain_scores_gemma":[0.9862041,0.008638307,0.001414346,0.001228547,0.001984093,0.0005306039],"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":[0.001018986,0.0003252589,0.004902146,0.003495787,0.0006099857,0.004867055,0.001930877,0.002629697,0.04205101,0.3084311,0.2971077,0.3326304],"study_design_scores_gemma":[0.0001803458,0.0007189658,0.001236964,0.001253575,0.0002657762,0.01118971,0.000799755,0.001609809,0.02900742,0.06771821,0.8859044,0.0001149267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03334487,0.07501701,0.1417282,0.560585,0.03916809,0.0004510851,0.0007964984,0.002352475,0.1465569],"genre_scores_gemma":[0.3643361,0.06255243,0.08815029,0.3361525,0.01269656,0.0007069703,0.0006101923,0.0006336563,0.1341613],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01426576,"threshold_uncertainty_score":0.04772377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729081461933629,"score_gpt":0.4019187278158515,"score_spread":0.3746279131965152,"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."}}