{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007816439,0.0005684724,0.00068998,0.0009920842,0.0007641212,0.0008449627,0.001183516,0.0008636712,0.008251216],"category_scores_gemma":[0.001767796,0.00119697,0.0004383601,0.0004680121,0.0005224185,0.0007998141,0.0006067783,0.001455955,0.002293909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835649,"about_ca_system_score_gemma":0.001279498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211226,"about_ca_topic_score_gemma":0.006065928,"domain_scores_codex":[0.999333,0.00002185433,0.00005649198,0.0001141047,0.0003916034,0.0000829988],"domain_scores_gemma":[0.9986486,0.0002075224,0.0001897407,0.0005175208,0.0003622908,0.00007434749],"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":[0.0001290772,0.0001190136,0.002205852,0.0006925483,0.00006726112,0.0005485116,0.0005117322,0.006323203,0.8867605,0.01233461,0.011384,0.07892365],"study_design_scores_gemma":[0.00007802203,0.000497181,0.007151746,0.00008403479,0.00005004803,0.0006638311,0.0001357655,0.0117504,0.9149162,0.00188765,0.06269952,0.00008577734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.348058,0.003878269,0.5579315,0.001538055,0.003425035,0.002606038,0.005426223,0.01184471,0.06529225],"genre_scores_gemma":[0.3517121,0.0009748706,0.6210414,0.0002503745,0.00009919878,0.000744783,0.001625448,0.0007754998,0.02277642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008251216,"threshold_uncertainty_score":0.02760309,"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."}}