{"id":"W7034138799","doi":"","title":"Srtrategic Analysis Of Spatial And Temporal Water Quality Of 
\\n\\t\\t\\tRiver Chenab And Its Management","year":2009,"lang":"en","type":"dissertation","venue":"HEC National Digital Library","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Hydrology (agriculture); Effluent; Irrigation; Water resources; Agriculture; Streamflow; Water flow","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007374585,0.0001878399,0.0004074379,0.0004621393,0.00003129412,0.00007075317,0.000103277,0.0001314781,0.00005376298],"category_scores_gemma":[0.000007950075,0.0001734138,0.0001091879,0.0003189874,0.00002639371,0.0006302355,0.00003301827,0.00008503423,0.000008296633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640999,"about_ca_system_score_gemma":0.00002285055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670329,"about_ca_topic_score_gemma":0.00003628363,"domain_scores_codex":[0.9986774,0.00001647645,0.0006380514,0.0002140087,0.0003384929,0.0001155551],"domain_scores_gemma":[0.9995604,0.00004666769,0.0001430859,0.0001210372,0.00008350169,0.00004532738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002154763,0.00337257,0.1312757,0.03025027,0.05508186,0.00005866556,0.01088152,0.02780678,0.06976452,0.5167566,0.01222915,0.1403676],"study_design_scores_gemma":[0.0007177307,0.00006920865,0.936116,0.0002155863,0.0009153329,0.000001893855,0.000555801,0.01421455,0.03009132,0.01235674,0.003767272,0.0009785768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440964,0.0008108154,0.00007293671,0.00002556924,0.00005683631,0.0003580101,0.001013725,0.00008309593,0.0534826],"genre_scores_gemma":[0.9882599,0.00007091089,0.00005594976,0.000007029838,0.00003242919,0.00002593278,0.009699569,0.00002687313,0.001821443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048403,"threshold_uncertainty_score":0.707161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509780057902944,"score_gpt":0.244626671286224,"score_spread":0.2295288707071946,"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."}}