{"id":"W2025092388","doi":"10.1016/s0924-0136(01)00646-x","title":"Neural network analysis of experimental data for air/water spray cooling","year":2001,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Artificial neural network; Heat transfer; Materials science; Process engineering; Mechanical engineering; Superalloy; Forging; Engineering; Metallurgy; Mechanics; Computer science; Machine learning; Alloy","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":[0.000585911,0.0001794217,0.0006866036,0.0005963107,0.00007712405,0.00005435671,0.0006955391,0.0002366051,0.00005709572],"category_scores_gemma":[0.00007950762,0.0001388515,0.00007518684,0.0006062076,0.00007822095,0.0002788003,0.000130513,0.0001741194,0.000001174464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005291215,"about_ca_system_score_gemma":0.0000293675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001607673,"about_ca_topic_score_gemma":0.000002967131,"domain_scores_codex":[0.998475,0.00002558443,0.0008363173,0.0001702312,0.000157483,0.0003353555],"domain_scores_gemma":[0.999045,0.00002722253,0.0003160361,0.0003944145,0.0001691468,0.00004813653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007646486,0.00003416578,0.0005233014,0.0000466779,0.0002096229,0.00002275127,0.0000936392,0.02283095,0.9756505,0.000009168657,0.0002941945,0.0002085354],"study_design_scores_gemma":[0.0003874191,0.0001156789,0.0002261133,0.0001018268,0.000601257,0.0001440518,0.00009420596,0.001666215,0.9954689,0.00003114474,0.001001489,0.0001616871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958666,0.0007482236,0.002290052,0.0001276908,0.0006940774,0.0000981261,0.00002469714,0.0001468634,0.000003674772],"genre_scores_gemma":[0.9869778,0.00001908633,0.01259721,0.00001746955,0.0002988761,0.000007052088,0.00003206031,0.00004240257,0.000008113741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116474,"threshold_uncertainty_score":0.5662197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352228354852537,"score_gpt":0.2939845976175042,"score_spread":0.2704623140689788,"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."}}