{"id":"W4408085106","doi":"10.1007/978-3-031-80748-0_130","title":"Temperature-Sensitive Isotropic Sintering Model for 316L Binder Jetting Parts","year":2025,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Powder Metallurgy Techniques and Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Sintering; Isotropy; Composite material; Optics; Physics","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":[0.0001514524,0.0005286769,0.000366707,0.0004015936,0.0002243988,0.0004131355,0.001391283,0.0004189382,0.006903527],"category_scores_gemma":[0.0002190154,0.0002709316,0.000479422,0.0003487607,0.0002845136,0.0006935869,0.0001945889,0.0003854318,0.00279738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790778,"about_ca_system_score_gemma":0.0004117662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713826,"about_ca_topic_score_gemma":0.003420181,"domain_scores_codex":[0.9997796,0.00001194434,0.000007288065,0.00004249889,0.0001423599,0.00001630463],"domain_scores_gemma":[0.9999182,0.00001591496,0.00001047457,0.00002289858,0.00003011618,0.000002307105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000309992,0.0001267791,0.001001955,0.0006224856,0.00003341476,0.0003093449,0.0002705516,0.2006534,0.5689115,0.08005186,0.01148402,0.1362246],"study_design_scores_gemma":[0.00001134063,0.00009865003,0.001742193,0.00002730479,0.00002283939,0.0002958927,0.00004405885,0.8157384,0.1533249,0.007339156,0.02132788,0.00002740424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05819822,0.002241001,0.8355095,0.0002319019,0.0002579304,0.0002616541,0.001444006,0.006569466,0.09528633],"genre_scores_gemma":[0.8119439,0.001636931,0.08780604,0.0001133606,0.00003756121,0.0002177874,0.001411252,0.0009256044,0.09590764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006903527,"threshold_uncertainty_score":0.02309459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815289076147016,"score_gpt":0.2263499904001216,"score_spread":0.2081970996386514,"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."}}