{"id":"W3012347829","doi":"","title":"FAECAL SLUDGE AND SEPTAGE MANAGEMENT (FSSM)- A CASE OF DALHOUSIE, HIMACHAL PRADESH","year":2019,"lang":"en","type":"article","venue":"Think India Journal","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanitation; Environmental planning; Task (project management); Settlement (finance); Business; Water resource management; Environmental resource management; Environmental science; Environmental engineering; Engineering","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":[0.0003023121,0.0003876943,0.00021713,0.0008861329,0.0074773,0.001938714,0.001217317,0.002541214,0.005060202],"category_scores_gemma":[0.0008028808,0.0003562954,0.0002816568,0.001165086,0.004075906,0.0007880102,0.00241554,0.002181405,0.0004142598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696065,"about_ca_system_score_gemma":0.003903668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06337533,"about_ca_topic_score_gemma":0.1320037,"domain_scores_codex":[0.9994063,0.0001402152,0.0000236281,0.00005655402,0.00009052429,0.0002827618],"domain_scores_gemma":[0.9993219,0.0001701641,0.0001072543,0.000040805,0.0000516294,0.0003083451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0002876075,0.0008697832,0.08023036,0.0006058394,0.0000693857,0.7465016,0.100037,0.002398148,0.005762204,0.02253838,0.005326427,0.03537328],"study_design_scores_gemma":[0.00006003134,0.0006043974,0.150795,0.0004435952,0.00008155009,0.2193073,0.5437716,0.002808776,0.003971183,0.007853339,0.07012131,0.000181965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782565,0.0006065353,0.0003499864,0.004687679,0.00004356256,0.0000507503,0.00005415887,0.00001755692,0.01593324],"genre_scores_gemma":[0.9933031,0.0005741019,0.0003121606,0.000663733,0.0000229729,0.000009624901,0.00001526056,0.000005976694,0.005093073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06337533,"threshold_uncertainty_score":0.1260129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006552802484230537,"score_gpt":0.2263939195881859,"score_spread":0.2198411171039553,"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."}}