{"id":"W2413307312","doi":"10.1101/057307","title":"Daisy-chain gene drives for the alteration of local populations","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CRISPR; Gene drive; Population; Daisy chain; Biology; Gene; Computational biology; Computer science; Genetics","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":[0.0002564496,0.0002626433,0.000222081,0.00006473312,0.0001543115,0.00002996249,0.0003141174,0.0003005649,0.00000697007],"category_scores_gemma":[0.00009407575,0.000209474,0.0001612329,0.00007235727,0.00009791791,0.000003724214,0.0003047558,0.0001217961,0.000001528833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002845044,"about_ca_system_score_gemma":0.0001561494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009213111,"about_ca_topic_score_gemma":0.000004089251,"domain_scores_codex":[0.9987837,0.00003239067,0.0003410189,0.0004596642,0.0001330286,0.0002502123],"domain_scores_gemma":[0.9986014,0.00002620343,0.000182366,0.0008445366,0.0002712411,0.00007426331],"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":[0.00002051072,0.00002950199,0.0003825877,0.00008201193,0.00009873289,4.176252e-7,0.00000505259,0.003436595,0.9949519,0.0006254356,0.0003520066,0.00001521873],"study_design_scores_gemma":[0.0003164713,0.0000836304,0.01085531,0.00007410421,0.00007867399,1.221727e-8,0.000002479429,0.002016589,0.9806132,0.000008523571,0.005661375,0.0002896095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2814412,0.002141588,0.7146524,0.0001985454,0.0007197917,0.0005264609,0.0002892973,0.00002828014,0.000002394227],"genre_scores_gemma":[0.9921341,0.0002112707,0.006611609,0.00004977517,0.0007031512,0.0002126084,0.000002954836,0.00006199555,0.00001252361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7106929,"threshold_uncertainty_score":0.8542101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130574949644796,"score_gpt":0.2662447899626781,"score_spread":0.2531872949981985,"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."}}