{"id":"W4400740383","doi":"10.1007/s12145-024-01409-0","title":"Qanat discharge prediction using a comparative analysis of machine learning methods","year":2024,"lang":"en","type":"article","venue":"Earth Science Informatics","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.000634938,0.00008131565,0.0001636622,0.0006942428,0.00009502279,0.0001069184,0.00009921438,0.00002565777,0.00003576982],"category_scores_gemma":[0.0000344516,0.000070083,0.00006112961,0.00258193,0.0001015898,0.001021481,0.00001504395,0.0001406911,0.000006174538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003081116,"about_ca_system_score_gemma":0.00004032824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001371301,"about_ca_topic_score_gemma":0.000006781125,"domain_scores_codex":[0.9991533,0.00001075182,0.0003552115,0.00005873628,0.0002594889,0.0001625732],"domain_scores_gemma":[0.9996784,0.00008398433,0.00003512487,0.00008982146,0.00005948068,0.00005313098],"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":[7.010105e-7,0.000004476844,0.002130468,0.00007442735,0.000129719,1.40645e-7,0.008109735,0.9775004,0.006369193,0.001260391,0.000003907637,0.00441643],"study_design_scores_gemma":[0.00003510521,0.00001949739,0.005806266,0.00004209875,0.0001565748,0.000001032392,0.0002672516,0.9829721,0.00923844,0.0000274543,0.001364861,0.00006930493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3696536,0.0002010153,0.6257879,0.000003311704,0.000283443,0.00006938557,0.00004230584,0.0001006942,0.003858441],"genre_scores_gemma":[0.9595899,0.00006575381,0.04029366,0.000003885742,0.000009739413,0.000001496138,0.00002436243,0.000003478949,0.000007706015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5899364,"threshold_uncertainty_score":0.2857902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838670111528325,"score_gpt":0.3237552780747112,"score_spread":0.295368576959428,"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."}}