{"id":"W2150361516","doi":"10.5539/enrr.v2n2p74","title":"A Synoptic Study on the Preparation of a Liquid Waste Management Plan for Kerala State, India","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Environmental science; Population; Municipal corporation; Sewage; Waste management; Geography; Environmental planning; Water resource management; Environmental engineering; Engineering; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001184,0.0001365393,0.0001197407,0.00007744004,0.000284814,0.00003245975,0.0002264978,0.00003461485,0.0001394014],"category_scores_gemma":[0.00001514228,0.00007591978,0.00004024922,0.0001155575,0.0002377457,0.000124625,0.0003587656,0.0001710217,0.00008684992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001497,"about_ca_system_score_gemma":0.000001226046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227022,"about_ca_topic_score_gemma":0.000005137508,"domain_scores_codex":[0.9982203,0.0002176958,0.0001735265,0.0002560201,0.0007000646,0.0004323418],"domain_scores_gemma":[0.9993117,0.0002521765,0.00005160795,0.0002881768,0.000002673462,0.00009363441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01316229,0.007793452,0.7255555,0.0002232888,0.001129333,0.00004166643,0.1291742,0.001465916,0.09801497,0.0005928754,0.009831317,0.01301524],"study_design_scores_gemma":[0.004303037,0.01215152,0.845322,0.0001058603,0.0001457094,0.000006283912,0.02137142,0.0005652208,0.07006316,0.0002604153,0.04499954,0.0007058359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965081,0.000250341,0.000001744634,0.0002086237,0.0000316138,0.001742931,0.000005736059,0.000007533459,0.001243416],"genre_scores_gemma":[0.9925274,0.0001012521,0.00008924318,0.00001646129,0.00003975113,0.0002274413,0.000007130383,0.0000125802,0.006978776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1197665,"threshold_uncertainty_score":0.3095919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067674838240728,"score_gpt":0.3011502801381322,"score_spread":0.2704735317557249,"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."}}