{"id":"W7128502038","doi":"10.64903/1480-6800-21.2.229","title":"Development of Spatial Similarity-Based Modeling to Support Integrated Lake Water Quality Management: Recreational Lakes in Klang Valley, Malaysia1","year":2018,"lang":"","type":"article","venue":"Arab world geographer","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Recreation; Sampling (signal processing); Water resources; Population; Hydrology (agriculture); Resource (disambiguation); Drainage basin","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002792503,0.0004962411,0.0005412363,0.0006268882,0.0003498684,0.00009957913,0.0005771601,0.0001533848,0.03725541],"category_scores_gemma":[0.00001093406,0.0004350577,0.000211633,0.001196432,0.0003822391,0.000272493,0.0004191835,0.0003185362,0.001105811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260818,"about_ca_system_score_gemma":0.00009150007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892701,"about_ca_topic_score_gemma":0.1109588,"domain_scores_codex":[0.9949026,0.0004608656,0.001690597,0.0009510843,0.001058619,0.0009362854],"domain_scores_gemma":[0.9987488,0.00004348798,0.0002198851,0.0006005039,0.00008831332,0.0002990587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002450022,0.004346448,0.7513358,0.0006643338,0.0007801296,0.00005945691,0.02398391,0.1093748,0.006628128,0.002382691,0.001224863,0.09676944],"study_design_scores_gemma":[0.004746132,0.0004664242,0.7707106,0.0009552843,0.0001888674,0.000001835974,0.001721883,0.04987008,0.03095856,0.001712195,0.1363959,0.002272184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424982,0.00001318868,0.04041873,0.001897136,0.0005294451,0.001141528,0.0001775533,0.00006054819,0.01326366],"genre_scores_gemma":[0.9646759,0.00000909867,0.03115129,0.001377611,0.00006820512,0.00009555158,0.0003061446,0.00003118024,0.002285025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.135171,"threshold_uncertainty_score":0.9998101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234990436699071,"score_gpt":0.3000027562778138,"score_spread":0.2576528519108231,"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."}}