{"id":"W6925250892","doi":"10.17632/2xzwppwxrw.3","title":"Double-Double Laminate Finder","year":2024,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Flexural strength; Stiffness; Composite number; Homogenization (climate); Flexural rigidity; Lamination; Stacking","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004617601,0.0006590535,0.0005967981,0.000212663,0.0002153962,0.0004581216,0.002061382,0.0002991162,0.00005344189],"category_scores_gemma":[0.000001257622,0.0005702173,0.00007777588,0.000319767,0.00006996622,0.0002359353,0.001170221,0.0008000904,0.0005681881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003493613,"about_ca_system_score_gemma":0.00003022525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779054,"about_ca_topic_score_gemma":0.008612826,"domain_scores_codex":[0.9974118,0.0000460349,0.0005295613,0.0009390847,0.0003341377,0.0007394095],"domain_scores_gemma":[0.99751,0.0001024268,0.00008632246,0.002073417,0.00001600755,0.0002118618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002824178,0.00001910889,0.00001560564,0.003280207,0.0001973239,0.00007838612,0.0003386631,0.02386659,0.00001386101,0.00002066556,0.9707235,0.00141787],"study_design_scores_gemma":[0.0003515344,0.00001879002,0.00006477703,0.001180736,0.0001531002,0.00004227686,0.000101927,0.1668686,0.000003770993,0.00002688252,0.8306298,0.0005577086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003665677,0.005709684,0.0001104682,0.00002259277,0.002752058,0.0002341164,0.9833119,0.0005027382,0.003690752],"genre_scores_gemma":[0.00408063,0.003401003,0.00007937734,0.00004875672,0.001315408,0.00004224362,0.9901711,0.0001181572,0.0007433053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.143002,"threshold_uncertainty_score":0.9996749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513614358457434,"score_gpt":0.2318872149703146,"score_spread":0.2167510713857402,"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."}}