{"id":"W4414413422","doi":"10.21203/rs.3.rs-7521801/v1","title":"Hydrogen-based ore-to-part manufacturing of near-net shaped stainless steel","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Raw material; Sintering; Austenite; Work (physics); Shrinkage; Reduction (mathematics); Oxide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001626145,0.0002111335,0.0003883483,0.0002120735,0.0002784485,0.0003116743,0.0006296505,0.0003862744,0.002171488],"category_scores_gemma":[0.0001927059,0.0001573315,0.0002813954,0.0002456736,0.0002522201,0.0002956277,0.0004119716,0.0002407496,0.0005835484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997886,"about_ca_system_score_gemma":0.0003277508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657716,"about_ca_topic_score_gemma":0.00221431,"domain_scores_codex":[0.9998141,0.00001242228,0.00000594135,0.0000299881,0.0001072128,0.00003025083],"domain_scores_gemma":[0.9998765,0.0000161681,0.00002153442,0.00003770355,0.00003211534,0.00001595282],"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":[0.0003571196,0.00009071741,0.0005928723,0.000170771,0.00001597522,0.0003222576,0.00009304442,0.013177,0.9553914,0.001417116,0.0005219526,0.02784985],"study_design_scores_gemma":[0.00002977982,0.000838545,0.002855717,0.000006198299,0.00001423395,0.0002614564,0.00008570903,0.0297454,0.9618072,0.0004338701,0.00390638,0.00001546862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473751,0.0002958714,0.03452104,0.00008298705,0.00008888635,0.00005316695,0.0001498774,0.0003314937,0.01710154],"genre_scores_gemma":[0.9819666,0.00005273314,0.01268434,0.00001037572,0.000004366657,0.000005205909,0.00006682585,0.00002466909,0.005184872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002171488,"threshold_uncertainty_score":0.007264376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409892832568869,"score_gpt":0.335598772812282,"score_spread":0.2914998444865933,"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."}}