{"id":"W2026291301","doi":"10.1007/s10530-013-0477-0","title":"Genetic control of invasive fish: technological options and its role in integrated pest management","year":2013,"lang":"en","type":"article","venue":"Biological Invasions","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Minnesota Sea Grant, University of Minnesota; International Atomic Energy Agency","keywords":"Biology; Sterile insect technique; Pest control; Integrated pest management; PEST analysis; Population; Invasive species; Gene drive; Biotechnology; Trojan horse; Ecology; Genetics; Gene; CRISPR; Environmental health; Computer science","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":[0.00008082028,0.0001368975,0.0001709721,0.00007246606,0.0000356982,0.00001008895,0.0001610182,0.0002278916,0.00007500908],"category_scores_gemma":[0.0001969718,0.00009998091,0.00004979817,0.000139934,0.0001220892,0.000002603578,0.0001618697,0.0001077716,0.00001190251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007560576,"about_ca_system_score_gemma":0.0000120116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896,"about_ca_topic_score_gemma":0.00003446823,"domain_scores_codex":[0.9991602,0.00005189935,0.0002377533,0.0002868511,0.00005144138,0.0002119108],"domain_scores_gemma":[0.9996226,0.00004285543,0.00003782283,0.0001716567,0.000050136,0.00007488608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001465718,0.0001324746,0.01906562,0.00001555963,0.0000346609,0.000006032224,0.00001116984,0.0003299294,0.9757745,0.001273933,0.0001502183,0.003191194],"study_design_scores_gemma":[0.001557374,0.0008389764,0.803091,0.00008316337,0.0000336088,0.00004001737,0.0008152031,0.001149551,0.186641,0.001228621,0.004037424,0.0004840549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953629,0.001299503,0.002243291,0.0002039881,0.00002423442,0.0004494456,0.00002752429,0.0000209843,0.000368121],"genre_scores_gemma":[0.995808,0.002052615,0.001723937,0.0001342502,0.00001855658,0.000159046,0.00003328238,0.00000676118,0.00006352934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7891335,"threshold_uncertainty_score":0.4077103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037312399063297,"score_gpt":0.2521581594438086,"score_spread":0.2217850354531756,"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."}}