{"id":"W4232151865","doi":"10.1007/978-3-662-53120-4_300428","title":"Micro End Mill","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Mill; Environmental science; Engineering; Mechanical engineering","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":[0.0001802609,0.0009504678,0.0005999171,0.001798218,0.001110845,0.001530218,0.0008165055,0.0007547238,0.2012592],"category_scores_gemma":[0.0002558883,0.0006901845,0.0003853089,0.001060443,0.0003239663,0.0012493,0.001039758,0.001627499,0.08153061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470688,"about_ca_system_score_gemma":0.000475995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007560707,"about_ca_topic_score_gemma":0.003998033,"domain_scores_codex":[0.999629,0.000007538887,0.000007668262,0.00006788946,0.0002621083,0.00002573026],"domain_scores_gemma":[0.9998568,0.00002031334,0.000008603562,0.00002860024,0.0000719141,0.00001376533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001032533,0.00009841774,0.0001977447,0.0004269307,0.00001033056,0.0001747529,0.0001349495,0.0008108272,0.06325702,0.03472069,0.2046249,0.6954402],"study_design_scores_gemma":[0.000009971594,0.00005067849,0.0006514142,0.00005701392,0.000009643422,0.0003628811,0.0000379319,0.001201845,0.03561883,0.002898355,0.9590858,0.00001562094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003703615,0.003786944,0.05397353,0.0003061126,0.001016273,0.0001554603,0.001185346,0.00270992,0.9331629],"genre_scores_gemma":[0.006417791,0.000963109,0.01023594,0.0001191075,0.00006070913,0.00003797936,0.0007000822,0.0002784023,0.9811869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2012592,"threshold_uncertainty_score":0.6732792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351150517068339,"score_gpt":0.1766227147031283,"score_spread":0.1631112095324449,"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."}}