{"id":"W7028510127","doi":"","title":"Fabrication of micro moulds and dies using precision laster micromachining and micromilling technologies","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Law and Political Science","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fabrication; Surface micromachining; Bulk micromachining; Precision engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002462893,0.00005088044,0.00009421252,0.0000392993,0.0003973394,0.00002458876,0.00009509153,0.00006833141,0.000009929701],"category_scores_gemma":[0.0002340565,0.00004198405,0.00001341515,0.0001177522,0.000882826,0.0001410918,0.0000768285,0.00005680789,9.015385e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181805,"about_ca_system_score_gemma":0.00002910603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002909945,"about_ca_topic_score_gemma":0.00002932101,"domain_scores_codex":[0.9994135,0.00004520309,0.0001115994,0.0001389913,0.0001166535,0.0001740304],"domain_scores_gemma":[0.9996478,0.0001585874,0.00004631311,0.00006525285,0.00004502625,0.0000370144],"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":[0.000008654318,0.00001906444,0.07449061,0.00001821316,0.000005309573,0.000001631136,0.01065696,0.000002118559,0.8793651,0.01180271,0.00008272952,0.02354691],"study_design_scores_gemma":[0.001049913,0.0002491644,0.1224353,0.0004272022,0.000074127,0.0000823003,0.01578667,0.002198625,0.6954983,0.1237888,0.03741748,0.0009920455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937019,0.0003054516,0.000484923,0.0005426176,0.00004046005,0.00006870386,0.000002745036,0.00003461937,0.004818625],"genre_scores_gemma":[0.9874136,0.000305373,0.01210889,0.00002506052,0.00002411648,9.950726e-7,2.341257e-7,0.000002563408,0.000119188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1838668,"threshold_uncertainty_score":0.3252809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361024452177369,"score_gpt":0.3101405493357595,"score_spread":0.2665303048139858,"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."}}