{"id":"W7011513714","doi":"","title":"Microbial adaptation and evolutionary rescue in multi- stress environments","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ectotherm; Adaptation (eye); Stress (linguistics); Fight-or-flight response; Environmental stress","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":[0.0004209037,0.0001961297,0.0002417621,0.0001862512,0.0005770387,0.0007708751,0.0003220635,0.000449239,0.01367351],"category_scores_gemma":[0.0004689991,0.00009427203,0.0001501244,0.0003191233,0.0003441612,0.0003622672,0.0008909493,0.0005590239,0.001320166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649057,"about_ca_system_score_gemma":0.000514325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082197,"about_ca_topic_score_gemma":0.01064108,"domain_scores_codex":[0.9998507,0.0000246973,0.000002733026,0.00002485585,0.0000289724,0.0000679638],"domain_scores_gemma":[0.9997993,0.00003348403,0.00001905862,0.00001247159,0.00003161657,0.0001041074],"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":[0.001386378,0.0002962209,0.01402182,0.0006404598,0.00004781547,0.001005623,0.002773557,0.004878657,0.2633026,0.03220899,0.06259037,0.6168475],"study_design_scores_gemma":[0.0001757571,0.001170601,0.3473372,0.0003140036,0.00007391192,0.001009401,0.006426974,0.006696466,0.08780606,0.04509957,0.5037454,0.0001447258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8098288,0.02306544,0.01057494,0.01922975,0.001559027,0.00006373888,0.0005090032,0.0003334382,0.1348358],"genre_scores_gemma":[0.8665458,0.007511861,0.003754199,0.001010461,0.0001473217,0.00004728147,0.0003139559,0.0001015548,0.1205675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367351,"threshold_uncertainty_score":0.04574245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388120141296528,"score_gpt":0.2322939634007073,"score_spread":0.2184127619877421,"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."}}