{"id":"W3008018669","doi":"10.3354/aei00353","title":"Machine learning analyses of bacterial oligonucleotide frequencies to assess the benthic impact of aquaculture","year":2020,"lang":"en","type":"article","venue":"Aquaculture Environment Interactions","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Aquaculture; Benthic zone; Environmental science; Anoxic waters; Benthos; Pipeline (software); Computer science; Ecology; Biology; Fishery; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008153372,0.0004442639,0.0003239154,0.001197915,0.0003382965,0.0004201188,0.0002446733,0.0002765871,0.0004179064],"category_scores_gemma":[0.002822276,0.0001274182,0.0003838212,0.0009343833,0.0002395201,0.0003188806,0.0002130423,0.0002913145,0.0002205002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999111,"about_ca_system_score_gemma":0.0007506176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808838,"about_ca_topic_score_gemma":0.03115696,"domain_scores_codex":[0.9996469,0.00009686773,0.00003156924,0.00009246111,0.00008325354,0.00004890486],"domain_scores_gemma":[0.9987588,0.0006445841,0.0002837687,0.00006423925,0.0002059268,0.00004266978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005737608,0.0002956439,0.5731033,0.0001893039,0.0002839649,0.0001672187,0.0003440407,0.1080441,0.146556,0.0006271153,0.0005038842,0.1693118],"study_design_scores_gemma":[0.0000172071,0.0005036358,0.4614226,0.00003139358,0.00009361467,0.0002501143,0.0003564563,0.4998901,0.03516773,0.001260204,0.0009561836,0.00005078085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331945,0.0001668204,0.06448623,0.00002999858,0.000007214822,0.00005135813,0.0009099999,0.000295858,0.0008581871],"genre_scores_gemma":[0.9562121,0.00007231219,0.04199481,0.00001549674,0.00000355513,0.00004364717,0.00131821,0.00001315653,0.0003267479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01808838,"threshold_uncertainty_score":0.03596616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475590742283466,"score_gpt":0.3078137152529717,"score_spread":0.2630578078301371,"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."}}