{"id":"W2062819269","doi":"10.1007/s12289-009-0630-6","title":"Guiding selection for reduced process development time in RTM","year":2009,"lang":"en","type":"article","venue":"International Journal of Material Forming","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Robustness (evolution); Computer science; Software; Process (computing); Fuzzy logic; Materials science; Mechanical engineering; Engineering drawing; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245689,0.00008747716,0.0001269651,0.0002292774,0.00002505874,0.00007592222,0.0002066025,0.00004258026,0.00002847765],"category_scores_gemma":[0.00008167826,0.00008631101,0.00003040523,0.00006524011,0.00000390247,0.000405117,0.000007719776,0.00005088808,0.000003317606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213997,"about_ca_system_score_gemma":0.0000616455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.47027e-7,"about_ca_topic_score_gemma":0.000001680241,"domain_scores_codex":[0.999134,0.000004487104,0.000449505,0.0000608312,0.0002155799,0.0001355737],"domain_scores_gemma":[0.9995717,0.00002017061,0.0001211375,0.00002195961,0.00023627,0.00002872902],"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":[0.0004034483,0.00006160021,0.0003052424,0.0001224946,0.0001234525,0.00001900045,0.001243028,0.02397715,0.9314117,0.00009819892,0.0003571435,0.04187747],"study_design_scores_gemma":[0.0005462334,0.00006415191,0.0008002577,0.0003848342,0.000006925958,0.0001856516,0.0000271308,0.002804656,0.9914709,0.001052201,0.002523266,0.0001338077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963753,0.00003362448,0.001938595,0.00009187788,0.001149122,0.00007144015,0.000001742612,0.00003849289,0.0002998418],"genre_scores_gemma":[0.9925204,0.000009334364,0.006837605,0.00001732485,0.0005559669,0.000004267173,0.000004039488,0.00001411901,0.00003693663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06005912,"threshold_uncertainty_score":0.3519661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562200235963507,"score_gpt":0.2802276194879083,"score_spread":0.2646056171282732,"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."}}