{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01607519,0.000972315,0.0009901677,0.002192918,0.004779521,0.007313163,0.002930705,0.006422148,0.006818761],"category_scores_gemma":[0.01299584,0.001109691,0.001560801,0.0008508774,0.02332016,0.007849543,0.005721001,0.01110586,0.005168709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004337769,"about_ca_system_score_gemma":0.005936892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164835,"about_ca_topic_score_gemma":0.001365252,"domain_scores_codex":[0.9897469,0.002897108,0.0005674082,0.001460066,0.004617945,0.0007105716],"domain_scores_gemma":[0.9931202,0.002615429,0.0003045379,0.001820147,0.001503751,0.0006360103],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005884119,0.00001910914,0.00003990356,0.00003604443,0.000003925183,0.00002178484,0.0001955498,0.0001970785,0.0004119834,0.9887509,0.004655821,0.005662085],"study_design_scores_gemma":[0.00002622107,0.0000405489,0.00005701024,0.00007931826,0.000006731174,0.00009743323,0.0001014554,0.0006206749,0.001322484,0.828815,0.1688114,0.00002164461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00418124,0.008119507,0.6474631,0.07146458,0.005335682,0.0006707696,0.0001885746,0.001161472,0.2614152],"genre_scores_gemma":[0.1831765,0.008246358,0.5989235,0.02577286,0.002557059,0.004589754,0.0002591781,0.0007483477,0.1757265],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9839248,"threshold_uncertainty_score":0.0850147,"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."}}