{"id":"W7038267765","doi":"","title":"A Genome Catalogue of Mercury-Methylating Bacteria and Archaea from
\\nSediments of a Boreal River Faced by Human Disturbances","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Context (archaeology); Aquatic ecosystem; Ecosystem; Ectotherm; Biodiversity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007917302,0.0003111649,0.0007019974,0.0007832717,0.0005293576,0.0000762409,0.001412545,0.0003258131,0.000006204304],"category_scores_gemma":[0.00007730447,0.000316632,0.0001792299,0.001138597,0.0005581356,0.0004746891,0.0005333931,0.0007331716,0.000005868441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800912,"about_ca_system_score_gemma":0.0004653282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1477427,"about_ca_topic_score_gemma":0.01064858,"domain_scores_codex":[0.9964355,0.0006353165,0.000537236,0.0009269924,0.0009149598,0.0005500403],"domain_scores_gemma":[0.9975879,0.0004643625,0.0005349426,0.0008736867,0.0003229348,0.0002161597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000745441,0.0004243539,0.5511658,0.003052938,0.001336471,0.00045608,0.03882104,0.00001102002,0.3997704,0.0006890532,0.0007134221,0.002814025],"study_design_scores_gemma":[0.0007143934,0.0004831821,0.9415957,0.0003769327,0.00005121826,0.000002955958,0.00203365,0.0001185508,0.05302481,0.0007028888,0.0005081213,0.0003875376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962331,0.0003672303,0.0001066173,0.00002786353,0.0005882236,0.0005368555,0.0002053362,0.00009744953,0.001837294],"genre_scores_gemma":[0.9950733,0.0001625417,0.0001174608,8.077076e-7,0.00007446946,0.000006065706,0.0007519738,0.00002802533,0.003785397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.39043,"threshold_uncertainty_score":0.9999286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899570841416493,"score_gpt":0.2716658576564093,"score_spread":0.2526701492422444,"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."}}