{"id":"W4408492885","doi":"10.2497/jjspm.15c-t1-24","title":"Study of Post-Atomization Treatments Aimed at Optimizing the Rheology of Water Atomized Tool Steel Powders for Laser Powder-Bed Fusion Additive Manufacturing","year":2025,"lang":"en","type":"article","venue":"Journal of the Japan Society of Powder and Powder Metallurgy","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université Laval","funders":"","keywords":"Materials science; Rheology; Fusion; Metallurgy; Laser; Composite material; Optics","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":[0.0006428275,0.0003231086,0.0008818451,0.0001109975,0.0002235357,0.00002782935,0.0003442982,0.0001531764,0.0001726163],"category_scores_gemma":[0.00005716876,0.0001758352,0.0005259273,0.0001054451,0.0001912004,0.0002009434,0.0002096644,0.000183036,5.538613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007312201,"about_ca_system_score_gemma":0.00004739105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477775,"about_ca_topic_score_gemma":0.00001205381,"domain_scores_codex":[0.998009,0.0002116647,0.0009794618,0.0001947955,0.0003090897,0.0002959662],"domain_scores_gemma":[0.9982655,0.0005028998,0.0005997384,0.0002710979,0.0003133084,0.00004747596],"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":[0.008508885,0.00205313,0.00174516,0.004023618,0.02654939,0.00000738302,0.0986734,0.04835568,0.7907338,0.0002786008,0.00880101,0.01026999],"study_design_scores_gemma":[0.005991906,0.0003874458,0.004378187,0.0001964998,0.001020388,0.00001962864,0.008763414,0.0005212703,0.9776041,0.0002894877,0.0006173236,0.0002103491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971246,0.0003590342,0.0007650247,0.0003535283,0.0005233017,0.0006978717,0.00007934389,0.00001634558,0.0000810006],"genre_scores_gemma":[0.9982704,0.000339265,0.0005011453,0.0001424609,0.00005527957,0.00002042419,0.00001852144,0.00003660173,0.0006159192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1868703,"threshold_uncertainty_score":0.7170351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009475063366987516,"score_gpt":0.2289853621986916,"score_spread":0.2195102988317041,"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."}}