{"id":"W2773954796","doi":"10.1126/science.aap9026","title":"Principles for gene drive research","year":2017,"lang":"en","type":"article","venue":"Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Wellcome Trust","keywords":"Gene; Gene drive; Political science; Computational biology; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007752707,0.00003762106,0.00003275142,0.00002947138,0.0006194193,0.00009449762,0.0005749086,0.00002590536,0.000002095098],"category_scores_gemma":[0.0005957497,0.00003420584,0.0000200725,0.00003633794,0.0004239601,0.000003329941,0.0002512423,0.00003205793,0.000005009729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006917697,"about_ca_system_score_gemma":0.00009914348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004893269,"about_ca_topic_score_gemma":0.00001379864,"domain_scores_codex":[0.9993256,0.000004054243,0.00005141038,0.000234982,0.0001438675,0.0002401254],"domain_scores_gemma":[0.999266,0.000006040944,0.00001836761,0.0005071502,0.0001434083,0.00005901506],"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":[0.000003845448,0.000004283028,0.0007798281,0.000003212373,0.000001267258,2.619703e-7,0.00002275253,0.00008940448,0.9964338,0.0004018881,0.0001023337,0.002157112],"study_design_scores_gemma":[0.00009151443,0.00006779729,0.01895675,0.000002945259,7.591166e-7,0.000001949209,0.00002088804,0.000453334,0.916649,0.0001131924,0.06359128,0.00005062155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799527,0.0002367016,0.01494765,0.000209318,0.0002283023,0.0001561767,0.00000569707,0.000004787614,0.004258674],"genre_scores_gemma":[0.9920304,0.00003654357,0.006210308,0.00001421016,0.0001703443,0.00001909341,0.000002042805,0.000004515217,0.00151257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07978485,"threshold_uncertainty_score":0.4764135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07951527555894737,"score_gpt":0.4639216897274571,"score_spread":0.3844064141685097,"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."}}