{"id":"W2774721578","doi":"","title":"Multi-station injection molding, design and analysis using evolutionary algorithms","year":2001,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Molding (decorative); Computer science; Algorithm; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001401064,0.0002674318,0.0002784785,0.0006238749,0.0002129128,0.00008278904,0.00006079828,0.000284845,0.0001194347],"category_scores_gemma":[0.00001996519,0.0002869118,0.00008427005,0.0007458373,0.00001587905,0.0001756074,0.000006724059,0.0002475463,0.000006995307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772159,"about_ca_system_score_gemma":0.00003646573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004465937,"about_ca_topic_score_gemma":0.00007270835,"domain_scores_codex":[0.9990617,0.00004403655,0.000226557,0.000273943,0.0001843932,0.0002093676],"domain_scores_gemma":[0.9995649,0.00002538143,0.00009466278,0.000124628,0.0001366731,0.00005368737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003343691,0.00001337125,0.0001564582,0.0002100966,0.0004232129,0.000003301098,0.004899101,0.9854181,0.002037415,0.000007167177,0.000289619,0.006508749],"study_design_scores_gemma":[0.0001560941,0.00003617425,0.001530538,0.0000763011,0.0006023039,0.00001421418,0.002079318,0.9927063,0.001803788,0.00004277722,0.0005894097,0.0003627689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638289,0.007385817,0.7254901,0.000007057562,0.001194497,0.0003820985,0.000009779649,0.0006185485,0.001083222],"genre_scores_gemma":[0.6462826,0.004483505,0.2941559,0.00004146099,0.0006499331,0.0001951273,0.001844775,0.0003836348,0.05196303],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4313342,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336183593054271,"score_gpt":0.3163636071005451,"score_spread":0.2730017711700023,"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."}}