{"id":"W1999232761","doi":"10.1080/09593330.2014.924567","title":"Removal of phosphate from greenhouse wastewater using hydrated lime","year":2014,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vineland Research and Innovation Centre; University of Guelph","funders":"Varian Medical Systems","keywords":"Lime; Wastewater; Phosphate; Greenhouse; Chemistry; Pulp and paper industry; Ammonium; Environmental chemistry; Sewage treatment; Nutrient; Environmental science; Calcium oxide; Environmental engineering; Waste management; Materials science; Agronomy; Metallurgy; Organic chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008131413,0.0002764875,0.0003201449,0.0001064196,0.00009300285,0.000008686439,0.0003837449,0.0002275494,0.002837786],"category_scores_gemma":[0.000008510215,0.0002481651,0.00007889159,0.0002058876,0.0007816505,0.000132975,0.0006009764,0.0001633411,0.0007510026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002595768,"about_ca_system_score_gemma":0.000003437071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004903668,"about_ca_topic_score_gemma":0.00003793953,"domain_scores_codex":[0.9983644,0.00005160015,0.0003773545,0.0005330584,0.000265382,0.0004081393],"domain_scores_gemma":[0.9990498,0.00002362925,0.000176412,0.0006612903,0.000001116003,0.00008768333],"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":[0.0000355775,0.0001500537,0.1368351,0.00000193048,0.00005143926,0.0000717511,0.0001024402,0.0003608588,0.8443123,0.00003151785,0.0000191205,0.01802798],"study_design_scores_gemma":[0.001428383,0.0002610308,0.01470412,0.00002111483,0.0000857747,0.0003143046,0.0001398112,0.002971213,0.9714766,0.002980663,0.005223621,0.000393427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982692,0.00007322648,0.0002129593,0.0001091198,0.0001104797,0.0002131194,0.00004441466,0.0001445726,0.0008228999],"genre_scores_gemma":[0.9874187,0.00001607121,0.01213495,0.00003266452,0.00001861741,0.00001023048,0.00004250419,0.0000418045,0.0002845374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271643,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005597397087962685,"score_gpt":0.1841499602060183,"score_spread":0.1785525631180556,"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."}}