{"id":"W4323784260","doi":"10.2139/ssrn.4382766","title":"Laboratory Evolution, Transcriptomics, and Modeling Reveal Mechanisms of Paraquat Tolerance","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Paraquat toxicity studies and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Transcriptome; Paraquat; Computational biology; Biology; Evolutionary biology; Computer science; Genetics; Gene; Gene expression","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":[0.0006444489,0.0004016541,0.0004321991,0.0002115589,0.0003262541,0.0007631566,0.0007520682,0.0007048862,0.001958136],"category_scores_gemma":[0.001149948,0.0002124702,0.0004989178,0.0002856554,0.0004477326,0.0009041771,0.0004349501,0.001220176,0.0002758371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008345748,"about_ca_system_score_gemma":0.000516411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162895,"about_ca_topic_score_gemma":0.001208085,"domain_scores_codex":[0.9997916,0.00006277554,0.0000107195,0.000062862,0.00004532009,0.0000267487],"domain_scores_gemma":[0.9995856,0.0001948296,0.0000659243,0.00008570528,0.0000356829,0.00003243118],"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":[0.0003583198,0.0001991537,0.01544379,0.0001566232,0.00009145022,0.0001706678,0.0001668424,0.1098582,0.8106788,0.02908534,0.0009434813,0.03284729],"study_design_scores_gemma":[0.00006823149,0.0003649044,0.01400087,0.0000161914,0.00008092689,0.0002003988,0.0001253564,0.8070817,0.1402969,0.03164604,0.006061572,0.00005686082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216579,0.0006282819,0.0706786,0.001197567,0.00006134753,0.00002129335,0.000474674,0.0004074774,0.004873008],"genre_scores_gemma":[0.981998,0.0005331705,0.01573396,0.0001533171,0.00001373053,0.00002940338,0.000386702,0.00009028316,0.001061447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958136,"threshold_uncertainty_score":0.00655061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749480627293443,"score_gpt":0.2837802358024074,"score_spread":0.2562854295294729,"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."}}