{"id":"W1979800663","doi":"10.1002/app.42174","title":"Architecture–process relationships in stochastic honeycombs","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Process (computing); Composite material; Polymer science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003912602,0.0000830043,0.0001250101,0.0003394075,0.00004944012,0.00004439466,0.0003515653,0.00002923229,0.000005709399],"category_scores_gemma":[0.00001108139,0.00006930212,0.00002512415,0.000657985,0.0001124306,0.0001279263,0.00002104115,0.0003565584,0.000005159879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005549044,"about_ca_system_score_gemma":0.0001248049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002836118,"about_ca_topic_score_gemma":0.00000443334,"domain_scores_codex":[0.9990988,0.000006601874,0.0002314314,0.00008043493,0.000397356,0.0001853223],"domain_scores_gemma":[0.9995902,0.00002952888,0.00005805159,0.0001083702,0.00004369805,0.0001702206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009755618,0.00003303204,0.0004042994,0.00001769093,0.00001543771,0.00002293709,0.008284812,0.8494261,0.1226982,0.005016361,0.0001171507,0.01386643],"study_design_scores_gemma":[0.003993173,0.0002785028,0.01901303,0.0001793652,0.0000770162,0.001128777,0.004190182,0.06343921,0.8336428,0.07232635,0.0004868224,0.001244713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977184,0.001090751,0.01006589,0.00005066499,0.0003317601,0.00004214244,5.036119e-7,0.00002159617,0.01121267],"genre_scores_gemma":[0.999513,0.000001273663,0.0003781137,0.00002139803,0.00006982149,9.891401e-7,1.626871e-7,0.000007670232,0.00000756826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7859869,"threshold_uncertainty_score":0.2826059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346514416328858,"score_gpt":0.2251202179597828,"score_spread":0.2116550737964942,"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."}}