{"id":"W4407808048","doi":"10.3390/met15030232","title":"Influence of Selective Laser Melting Process and Heat Treatment Parameters on the Corrosion Resistance of 17-4 Precipitation Hardening Stainless Steel","year":2025,"lang":"en","type":"article","venue":"Metals","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Selective laser melting; Metallurgy; Precipitation hardening; Hardening (computing); Precipitation; Corrosion; Heat treating; Heat resistance; Case hardening; Composite material; Microstructure; Hardness","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004214521,0.0003129793,0.0003548164,0.0003104089,0.0001441536,0.0002893401,0.0002263731,0.0003216879,0.0005699527],"category_scores_gemma":[0.001032537,0.0002249187,0.000327037,0.0003071802,0.0001892903,0.0002704299,0.0001672392,0.0002738689,0.0001811699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239799,"about_ca_system_score_gemma":0.000199033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008161032,"about_ca_topic_score_gemma":0.00168883,"domain_scores_codex":[0.9996444,0.00005684297,0.0000486123,0.00006607673,0.0001350786,0.00004888702],"domain_scores_gemma":[0.9993784,0.0002260284,0.0001680369,0.00006023996,0.0001460006,0.00002120334],"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":[0.0002359323,0.00002876007,0.001616539,0.0001494068,0.00002173418,0.00007399821,0.00007520073,0.001329105,0.9894279,0.00002934404,0.00005142457,0.0069607],"study_design_scores_gemma":[0.00000539685,0.0006380152,0.005608955,0.000007111067,0.00003940921,0.0000651107,0.00006628519,0.002552432,0.9904726,0.0000158512,0.0005191781,0.000009752091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974599,0.0008443026,0.00129061,0.00002184281,0.0000100497,0.00000892218,0.00005322642,0.00002586576,0.00028516],"genre_scores_gemma":[0.9977311,0.0004346097,0.001398948,0.00001103296,0.000003598629,0.000008207733,0.00003872648,0.00001172818,0.0003621085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008161032,"threshold_uncertainty_score":0.002228856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091542482886419,"score_gpt":0.2414180087093707,"score_spread":0.2305025838805065,"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."}}