{"id":"W2078724835","doi":"10.1016/j.msea.2004.01.007","title":"ANN model for prediction of the effects of composition and process parameters on tensile strength and percent elongation of Si–Mn TRIP steels","year":2004,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Elongation; Ultimate tensile strength; Materials science; Martensite; Tempering; Volume fraction; Austenite; Metallurgy; Annealing (glass); Composite material; Microstructure","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":[0.0001275361,0.00006847497,0.0001299836,0.00004430406,0.00003308371,0.00001392935,0.00004607279,0.0000315985,1.704513e-7],"category_scores_gemma":[0.00004588622,0.00004839942,0.000009642854,0.00006292327,0.00007397775,0.0001027095,0.00001427023,0.0000226637,1.211324e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001450078,"about_ca_system_score_gemma":0.00001048803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004262476,"about_ca_topic_score_gemma":1.761903e-7,"domain_scores_codex":[0.9995723,0.000002897571,0.0001423962,0.00009280308,0.0001020938,0.00008745996],"domain_scores_gemma":[0.9998101,0.00001963851,0.00003276811,0.00006419379,0.00004812753,0.00002515838],"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":[0.0000152148,0.000006324439,0.000003512647,0.0008821188,0.000003634083,2.575275e-8,0.0004449827,0.1024581,0.8958129,0.00008752688,0.000001052443,0.0002846855],"study_design_scores_gemma":[0.0003075444,0.0001308699,0.001011486,0.0002735059,0.00001367426,0.000001794322,0.00002610096,0.08122997,0.9168684,0.00009470145,6.241434e-7,0.00004133201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971462,0.00007080389,0.00230235,0.000009658981,0.0001396179,0.0002568204,0.00005697466,0.00001553032,0.000001966571],"genre_scores_gemma":[0.9991649,0.0000396108,0.0007641391,0.000005559453,0.00000732787,0.000009782186,0.00000204205,0.000005858451,7.468259e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212281,"threshold_uncertainty_score":0.1973671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00723447707700857,"score_gpt":0.1852958283375508,"score_spread":0.1780613512605423,"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."}}