{"id":"W4402675534","doi":"10.1016/j.psep.2024.09.079","title":"Enhanced hybrid LSTM and SLAR modeling for in-depth analysis of temporal and spatial patterns in compositional data for environmental monitoring","year":2024,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Guangzhou University","keywords":"Computer science; Remote sensing; Artificial intelligence; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322936,0.0001014073,0.0001531483,0.00009377422,0.00008431023,0.00003180718,0.0001027251,0.00004331557,0.000002443067],"category_scores_gemma":[0.000006607904,0.0001050062,0.00002129997,0.00006751952,0.00003832897,0.0003575967,0.0001547167,0.00008564024,6.326329e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003563679,"about_ca_system_score_gemma":0.000005310103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007134833,"about_ca_topic_score_gemma":0.00002300182,"domain_scores_codex":[0.9991125,0.00001463405,0.0002146526,0.0004440392,0.00009057046,0.0001235774],"domain_scores_gemma":[0.9997798,0.00003172326,0.00004522845,0.0001133062,0.000001957364,0.00002793652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001174348,0.0005760366,0.1484477,0.004360487,0.0005435323,0.00001462713,0.003593166,0.2865731,0.2004249,0.0001344106,5.530582e-7,0.3541572],"study_design_scores_gemma":[0.000367309,0.00006399381,0.01213224,0.00007662793,0.00003616206,0.000006940964,0.0001943974,0.9774521,0.008844201,0.0006972232,0.00001806619,0.000110723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4103697,0.0002244879,0.5889063,0.000089571,0.00002115251,0.0002636202,0.0001117592,0.000007687332,0.000005662448],"genre_scores_gemma":[0.9984722,0.0001673231,0.001012312,0.00000386041,0.00002447911,0.00008674894,0.0002225406,0.000003027062,0.000007480655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.690879,"threshold_uncertainty_score":0.4282028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215021775140777,"score_gpt":0.243294362187405,"score_spread":0.2211441444359972,"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."}}