{"id":"W4388197891","doi":"10.18280/mmep.100532","title":"Analysis of Salinity Indices Using SVM Based Approach of Ballari Town, India","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Salinity; Statistics; Environmental science; Pattern recognition (psychology); Geography; Data mining; Computer science; Artificial intelligence; Mathematics; Geology; Oceanography","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":[0.0007454971,0.0001368818,0.0003980462,0.0001935139,0.00004282591,0.00001498465,0.0001399553,0.000108725,0.00006892698],"category_scores_gemma":[0.00008415332,0.0001143576,0.00009269617,0.001210232,0.0001081549,0.00004899434,0.00009999009,0.000130819,0.000004633015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002154013,"about_ca_system_score_gemma":0.000004628846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006360935,"about_ca_topic_score_gemma":3.732982e-7,"domain_scores_codex":[0.9988248,0.00002130846,0.0003944518,0.0002342389,0.00027973,0.0002454534],"domain_scores_gemma":[0.9994262,0.0001932042,0.0001052489,0.0001810335,0.000009058475,0.0000851915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002497229,0.00005945019,0.00213795,0.0002522475,0.00007363297,6.520582e-7,0.000443028,0.9951724,0.001575787,0.0002008552,0.000001231411,0.00008023413],"study_design_scores_gemma":[0.00008037408,0.0000289356,0.0005083368,0.00007097839,0.0001943316,8.988122e-7,0.000007756684,0.9975601,0.0002526106,0.001171979,0.000006179626,0.0001174489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5995858,0.00000852039,0.4000043,0.00000557857,0.000008159661,0.00006358151,0.000004240521,0.00006027934,0.0002595578],"genre_scores_gemma":[0.9147724,0.000003480763,0.08517743,0.000005315839,0.000004562195,0.000005133134,0.000007973316,0.00001339004,0.00001035037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151866,"threshold_uncertainty_score":0.4663366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032193127242552,"score_gpt":0.2335504220490632,"score_spread":0.1832284907766377,"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."}}