{"id":"W2898211428","doi":"10.1016/j.aquaculture.2018.10.059","title":"Aerobic bioconversion of aquaculture solid waste into liquid fertilizer: Effects of bioprocess parameters on kinetics of nitrogen mineralization","year":2018,"lang":"en","type":"article","venue":"Aquaculture","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lethbridge College","funders":"","keywords":"Nitrification; Bioprocess; Mineralization (soil science); Aquaculture; Bioconversion; Bioreactor; Nitrate; Aquaponics; Recirculating aquaculture system; Pulp and paper industry; Nitrogen cycle; Ammonium; Nutrient; Anammox; Environmental chemistry; Biology; Nitrogen; Nitrifying bacteria; Denitrification; Food science; Chemistry; Ecology; Denitrifying bacteria; Fishery; Botany; Fish <Actinopterygii>; Fermentation","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":[0.0004195337,0.0005117764,0.0004470002,0.0001976944,0.0002146739,0.0005806368,0.000324907,0.0004450538,0.000999685],"category_scores_gemma":[0.0006738821,0.0002313324,0.0004128664,0.0003546108,0.0002782463,0.0004117931,0.0002997889,0.0004300669,0.0002289743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270608,"about_ca_system_score_gemma":0.0006083866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005673859,"about_ca_topic_score_gemma":0.008279691,"domain_scores_codex":[0.9996518,0.00006256317,0.00004864076,0.00007787492,0.0000763365,0.00008280814],"domain_scores_gemma":[0.99958,0.0001744517,0.00008977744,0.0000361527,0.00006239244,0.00005728598],"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":[0.001710742,0.0002452658,0.0009701262,0.00005843151,0.00001544675,0.00006445433,0.00006525553,0.0005260095,0.991968,0.00003353226,0.00003612872,0.004306559],"study_design_scores_gemma":[0.0000203324,0.001020162,0.002899578,0.000008118799,0.00002327751,0.00003485466,0.00004395264,0.001339156,0.9943347,0.00001524009,0.0002511463,0.000009468467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991018,0.0001856259,0.0002382004,0.00001519847,0.00001178138,0.000007330284,0.00007387337,0.000007006784,0.0003592345],"genre_scores_gemma":[0.998346,0.000231944,0.0004928885,0.00001160281,0.000004171497,0.000006914465,0.0001151265,0.000006162187,0.0007852118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005673859,"threshold_uncertainty_score":0.01128167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022773248275773,"score_gpt":0.2378716435976513,"score_spread":0.2276439111148935,"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."}}