{"id":"W4296041548","doi":"10.26685/urncst.378","title":"TROPSA and TRE31 Gene Knockouts to Prevent the Transmission of Lyme Disease from Tick to Host: A Research Protocol","year":2022,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Ixodes scapularis; Lyme disease; Tick; Borrelia burgdorferi; Biology; Peromyscus; Transmission (telecommunications); Gene knockout; LYME; Mutant; Disease; Tick-borne disease; Genetics; Virology; Gene; Medicine; Zoology; Ixodidae; Antibody; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006782488,0.0001563671,0.0002930948,0.0003297228,0.001988483,0.0002145641,0.00106523,0.00009499494,0.00008713385],"category_scores_gemma":[0.001557556,0.00005933656,0.00006676482,0.004052172,0.002036094,0.0001943226,0.001478758,0.001763843,0.000004653476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272854,"about_ca_system_score_gemma":0.0002866925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003027747,"about_ca_topic_score_gemma":0.000258971,"domain_scores_codex":[0.9952194,0.0009615671,0.0005487778,0.0007225632,0.001690086,0.0008576076],"domain_scores_gemma":[0.9972553,0.001220808,0.00009132018,0.0001434552,0.0004272034,0.0008619702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002872203,0.001875086,0.07827485,0.00003791093,0.00005335199,0.0003206837,0.0002842379,0.000006138686,0.3099206,0.0037474,0.002679081,0.5999284],"study_design_scores_gemma":[0.001648325,0.009793026,0.7964474,0.0003050312,0.00002988499,0.0001563317,0.003253765,0.0009577755,0.004338362,0.1434482,0.0391235,0.0004984633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573437,0.0008480369,9.862767e-7,0.1360335,0.00003649842,0.005658005,0.00002877996,0.00001595208,0.00003451657],"genre_scores_gemma":[0.9972367,0.0005748948,0.0001076005,0.0002153253,0.00009781081,0.001614323,0.000001341975,0.000002099956,0.0001499487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7181726,"threshold_uncertainty_score":0.9993108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07992752747318026,"score_gpt":0.4158130919057802,"score_spread":0.3358855644325999,"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."}}