{"id":"W4362724001","doi":"10.53063/synsint.2023.31139","title":"Recent advances in machine learning algorithms for sintering processes","year":2023,"lang":"en","type":"article","venue":"Synthesis and Sintering","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Sintering; Artificial intelligence; Machine learning; Materials science; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843765,0.00140285,0.001685487,0.001529521,0.0003435419,0.001597486,0.001878728,0.001368331,0.004452992],"category_scores_gemma":[0.00607417,0.0006902839,0.001459749,0.002877077,0.000759432,0.00240181,0.001207027,0.003387152,0.003036448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00078426,"about_ca_system_score_gemma":0.001116891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144465,"about_ca_topic_score_gemma":0.001438529,"domain_scores_codex":[0.9986527,0.0003243416,0.0001312273,0.0002785091,0.0005581001,0.0000551775],"domain_scores_gemma":[0.9969754,0.001773922,0.0001859099,0.0002764552,0.0007378623,0.0000504666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009234923,0.0000908732,0.001174135,0.001584962,0.0001787918,0.00008289785,0.00008599387,0.1128244,0.002526109,0.03642472,0.01115297,0.8337818],"study_design_scores_gemma":[0.00002756181,0.00008424131,0.0009603779,0.0003418952,0.00008928392,0.0001892162,0.00004068918,0.8255934,0.003859879,0.05434247,0.1144035,0.00006743336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0032252,0.09671672,0.8879108,0.001641322,0.0009340338,0.00004551794,0.00014472,0.001028633,0.008353026],"genre_scores_gemma":[0.1231653,0.1777065,0.6788316,0.001290033,0.003602351,0.0002707079,0.001212175,0.0007652872,0.01315613],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004452992,"threshold_uncertainty_score":0.01489681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188518030967173,"score_gpt":0.2621959339688545,"score_spread":0.2403107536591828,"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."}}