{"id":"W248446882","doi":"","title":"Powder Injection Molding (PIM) for Low Cost Manufacturing of Intricate Parts to Net-Shape","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metal injection molding; Aerospace; Molding (decorative); Near net shape; Manufacturing engineering; Powder metallurgy; Flexibility (engineering); Materials science; Injection moulding; Mechanical engineering; Process engineering; Engineering; Metallurgy; Sintering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009821797,0.0001158775,0.0001414604,0.0001367674,0.00007877606,0.00003479545,0.0000756826,0.0000605893,0.0001478839],"category_scores_gemma":[0.00001391852,0.0001120453,0.0000457977,0.0001187093,0.00001147682,0.0001028136,0.00001740185,0.0000756342,0.00001453462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005438961,"about_ca_system_score_gemma":0.000007284136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002917262,"about_ca_topic_score_gemma":0.00001222845,"domain_scores_codex":[0.9993241,0.000005686342,0.0002122622,0.0001354727,0.00009755394,0.0002248686],"domain_scores_gemma":[0.9997477,0.00002748204,0.00003310093,0.0001035082,0.00005098868,0.00003725471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007724466,0.00003173837,0.0004405293,0.0005587295,0.00003603052,0.000001289994,0.0003342566,0.787397,0.08579773,0.0007407001,0.01095741,0.1136273],"study_design_scores_gemma":[0.0003113057,0.00008499501,0.0009991239,0.00008673684,0.00001601324,0.000007610535,0.00004405628,0.05536447,0.9135001,0.001983195,0.02734345,0.0002589835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436845,0.00009017649,0.04824433,0.00009486231,0.000640086,0.0004309481,0.00001295944,0.0002806708,0.006521457],"genre_scores_gemma":[0.9972633,0.000009690214,0.00208827,0.0000438897,0.0002120639,0.00009499402,0.000006066527,0.00003329142,0.0002484428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8277023,"threshold_uncertainty_score":0.4569073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300526215175029,"score_gpt":0.2151251505683881,"score_spread":0.2021198884166378,"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."}}