{"id":"W4408085032","doi":"10.1007/978-3-031-80748-0_11","title":"Development of an Environmentally Friendly and Low-Cost Binder for 17-4PH Metal Part Printing via Fused Deposition Modeling","year":2025,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas University; Polytechnique Montréal","funders":"","keywords":"Environmentally friendly; Materials science; Deposition (geology); 3D printing; Metal; Process engineering; Nanotechnology; Metallurgy; Engineering; Geology","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":[0.0002036511,0.0004470771,0.000489247,0.000306449,0.0003478664,0.0008144229,0.0008313539,0.0006796456,0.003925532],"category_scores_gemma":[0.0002966054,0.0003238277,0.0006642184,0.0004219114,0.0001338979,0.0006994831,0.0004066584,0.0004935358,0.001654237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006422486,"about_ca_system_score_gemma":0.0006547752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003175235,"about_ca_topic_score_gemma":0.006270684,"domain_scores_codex":[0.9997811,0.000007934395,0.000006403654,0.00002684133,0.0001610904,0.00001664904],"domain_scores_gemma":[0.9999405,0.00002150112,0.000005610149,0.000008649648,0.00002108167,0.000002603479],"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":[0.000084061,0.0001413044,0.0007595386,0.0008341947,0.0000655648,0.0003114655,0.0001355312,0.3091747,0.4802894,0.02334251,0.005616581,0.1792453],"study_design_scores_gemma":[0.000009937861,0.00007681541,0.0004014019,0.00003104727,0.00003376658,0.0001774513,0.0000298718,0.6761157,0.2915075,0.001788054,0.02979763,0.00003089059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1295306,0.003724394,0.7706454,0.0002991726,0.0003213006,0.0001877648,0.001832501,0.003825573,0.08963326],"genre_scores_gemma":[0.5199692,0.003280654,0.4286819,0.00008842999,0.00002724086,0.0002076604,0.001533132,0.0008859278,0.04532592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003925532,"threshold_uncertainty_score":0.01313221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778154079098278,"score_gpt":0.210590622519727,"score_spread":0.1928090817287442,"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."}}