{"id":"W4392945234","doi":"10.1109/icmla58977.2023.00092","title":"TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting","year":2023,"lang":"en","type":"article","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Transduction (biophysics); Artificial neural network; Graph; Flow (mathematics); Artificial intelligence; Theoretical computer science; Mathematics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004600468,0.000200188,0.0001564803,0.00007138679,0.0003453276,0.00003827212,0.0001584589,0.0001142269,0.0007026623],"category_scores_gemma":[0.00002095899,0.0001395487,0.0002014791,0.0003509498,0.00009962299,0.0001347096,0.00002285711,0.0001471985,0.0000962487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221484,"about_ca_system_score_gemma":0.000002046429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003076888,"about_ca_topic_score_gemma":0.00003517805,"domain_scores_codex":[0.9983223,0.00004385503,0.0002642965,0.0004785372,0.0002764032,0.000614588],"domain_scores_gemma":[0.9995943,0.00007660711,0.00002974715,0.000182717,0.000009069935,0.000107506],"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":[0.00008859779,0.00004993398,0.000326008,0.000007235312,0.000005288727,0.000002543392,0.00005062661,0.9835873,0.004388801,0.000006819108,0.000877322,0.01060955],"study_design_scores_gemma":[0.0006290577,0.0002042189,0.0002714688,0.00001145324,0.00001949729,0.000002309543,0.0000051006,0.9971722,0.0008294217,0.0005643036,0.00009437069,0.0001965318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.550468,5.51338e-7,0.4468822,0.001081296,0.0001932717,0.0003269986,0.000007715237,0.0003287153,0.0007112614],"genre_scores_gemma":[0.9930351,7.706257e-7,0.005230238,0.0006182807,0.00005855143,0.00009357276,0.0001568052,0.00003306655,0.0007735895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4425672,"threshold_uncertainty_score":0.769366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083434605214447,"score_gpt":0.239271123337921,"score_spread":0.1984367772857765,"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."}}