{"id":"W3122369779","doi":"10.1007/s12289-021-01612-0","title":"Mold filling simulation and experimental investigation of metallic feedstock used in low-pressure powder injection molding","year":2021,"lang":"en","type":"article","venue":"International Journal of Material Forming","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Metal injection molding; Raw material; Materials science; Mold; Molding (decorative); Metal powder; Metallurgy; Composite material; Metal; Sintering","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":[0.0001714636,0.0002861174,0.0004051763,0.0002483155,0.0003389113,0.0004005817,0.0004662808,0.0006086787,0.001759857],"category_scores_gemma":[0.0005255174,0.0001961054,0.0003686634,0.0002850257,0.0003634728,0.0003778562,0.0001525957,0.0002335076,0.0001444237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130372,"about_ca_system_score_gemma":0.0003234677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219334,"about_ca_topic_score_gemma":0.002334768,"domain_scores_codex":[0.999907,0.00001143013,0.000005616995,0.00002003269,0.00003454689,0.00002129696],"domain_scores_gemma":[0.9996632,0.0001955137,0.00004362505,0.00003007243,0.00005503012,0.00001255592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009016216,0.0004369527,0.009791193,0.0004542207,0.00002864096,0.0007628741,0.0002463839,0.7576883,0.2108454,0.001618497,0.0003745415,0.01685136],"study_design_scores_gemma":[0.00004452627,0.0004623423,0.004985311,0.00001094177,0.00002722968,0.00005749306,0.0001036816,0.8907962,0.1027684,0.0001591489,0.0005679686,0.00001664603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994877,0.00004954091,0.002455773,0.00002128159,0.000008935551,0.00001437079,0.0001236029,0.00006944392,0.002380036],"genre_scores_gemma":[0.9983891,0.00002682984,0.001104502,0.000002440287,7.658192e-7,0.000006287438,0.000042917,0.000008595278,0.0004185554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003219334,"threshold_uncertainty_score":0.006401181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974120844196169,"score_gpt":0.2611000956357182,"score_spread":0.2413588871937565,"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."}}