{"id":"W4403421749","doi":"10.5151/2594-3626-41156","title":"HYDROGEN FOR STEEL INDUSTRY: A DIGITAL APPROACH TO MIXED GAS OPTIMIZATION","year":2024,"lang":"en","type":"article","venue":"ABM Proceedings","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrogen; Computer science; Process engineering; Materials science; Manufacturing engineering; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005061699,0.0001382147,0.0001136251,0.0001832068,0.00003409294,0.0003558837,0.0001325444,0.0002333387,0.000006377726],"category_scores_gemma":[0.0000544949,0.000138293,0.00005161614,0.0004600602,0.00001948779,0.0003130102,0.00004362958,0.0001741266,0.00002727603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007212362,"about_ca_system_score_gemma":0.00001259491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001499857,"about_ca_topic_score_gemma":2.909359e-7,"domain_scores_codex":[0.9993213,2.704185e-7,0.0001177519,0.0002161226,0.00009616023,0.0002483822],"domain_scores_gemma":[0.9998215,0.00001188632,0.00000893188,0.00006375212,0.00003724527,0.0000566946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007301148,0.0001714413,0.001381325,0.002394496,0.0008007573,0.000009670702,0.005255152,0.1699188,0.04329609,0.04226216,0.6009681,0.133469],"study_design_scores_gemma":[0.0003255426,0.0001321956,0.00004020204,0.0001259756,0.00006279041,0.00004626753,0.002325202,0.7904843,0.03037448,0.001347835,0.1741357,0.0005994933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519336,0.001144708,0.07763059,0.001131558,0.0006197378,0.001389789,0.00007082126,0.00896163,0.0571176],"genre_scores_gemma":[0.9886515,0.00001801031,0.009716946,0.00001978575,0.0001201342,0.0002648311,0.00001717779,0.00006369198,0.001127893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6205655,"threshold_uncertainty_score":0.5639423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217012255305609,"score_gpt":0.207368425350574,"score_spread":0.1951983027975179,"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."}}