{"id":"W4361854306","doi":"10.17504/protocols.io.36wgq72n3vk5/v1","title":"HTTM : Transposon mutagenesis v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Transposon mutagenesis; Mutagenesis; Transposable element; Sleeping Beauty transposon system; Selection (genetic algorithm); Throughput; Protocol (science); Biology; Genetics; Computational biology; Mutation; Computer science; Mutant; Gene; Medicine; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838787,0.003076996,0.002335415,0.002656859,0.001197089,0.001352165,0.002856163,0.001656013,0.08138754],"category_scores_gemma":[0.002017935,0.002581907,0.001687973,0.001998389,0.0008129052,0.001107036,0.001637992,0.005047959,0.1156874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007405367,"about_ca_system_score_gemma":0.001512626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923566,"about_ca_topic_score_gemma":0.004007888,"domain_scores_codex":[0.9980439,0.0003996929,0.0002211669,0.000536462,0.0005846628,0.0002141143],"domain_scores_gemma":[0.9991044,0.0002489527,0.00006887894,0.0003610401,0.0001003082,0.0001163757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009254969,0.0003569834,0.000617228,0.00260073,0.0001945156,0.0003254822,0.0002699686,0.001173048,0.6465871,0.004748626,0.2723428,0.06985793],"study_design_scores_gemma":[0.0004212135,0.0004484939,0.002674706,0.0002640144,0.0001792019,0.00121523,0.0000616324,0.003141769,0.4714175,0.004548584,0.5153909,0.0002367922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01482015,0.004394912,0.4490604,0.001178557,0.001879792,0.006316035,0.4030913,0.08830738,0.03095143],"genre_scores_gemma":[0.02705249,0.003221737,0.282911,0.00105721,0.000228627,0.006870182,0.5832613,0.02953106,0.06586646],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08138754,"threshold_uncertainty_score":0.2722685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374290195135451,"score_gpt":0.2460703127536306,"score_spread":0.2323274108022761,"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."}}