{"id":"W2992772899","doi":"10.15554/pcij52.6-05","title":"Gold Bar Wastewater Treatment Plant","year":2007,"lang":"en","type":"article","venue":"PCI Journal","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clarifier; Precast concrete; Wastewater; Waste management; Sewage treatment; Environmental science; Bar (unit); Engineering; Environmental engineering; Civil engineering; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002400018,0.0006498174,0.0004653911,0.001025642,0.003046631,0.001159537,0.001110854,0.001214403,0.08492994],"category_scores_gemma":[0.0004320631,0.0003261282,0.0005315433,0.000779804,0.0003975974,0.0005797446,0.001543468,0.000831514,0.03592606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003752448,"about_ca_system_score_gemma":0.005163308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05124206,"about_ca_topic_score_gemma":0.07323052,"domain_scores_codex":[0.9987125,0.00004574506,0.00003732072,0.0003647119,0.0006049628,0.0002348773],"domain_scores_gemma":[0.9996448,0.00002137153,0.00001548595,0.00003609985,0.0001804875,0.0001016981],"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":[0.001102195,0.001182025,0.017075,0.0009013386,0.00006365591,0.002457745,0.0008518806,0.002825951,0.3344423,0.009641209,0.2322218,0.3972348],"study_design_scores_gemma":[0.0003348886,0.0008798209,0.03661593,0.0001585106,0.00005818542,0.00130085,0.0006385417,0.006433369,0.2020115,0.002064255,0.7493699,0.0001341191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3207237,0.001003074,0.01967094,0.003420495,0.0008647988,0.002262702,0.007579966,0.01328764,0.6311868],"genre_scores_gemma":[0.434449,0.000459494,0.0171643,0.002254959,0.0001182126,0.0003732544,0.005084552,0.0003410917,0.539755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08492994,"threshold_uncertainty_score":0.284119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020666451054623,"score_gpt":0.245958682296448,"score_spread":0.225292231241825,"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."}}