{"id":"W2968827084","doi":"10.1016/j.compscitech.2019.107777","title":"Method to determine the required microstructure size to be represented by a second order fibre orientation tensor using X-ray micro computed tomography to evaluate compression moulded composites","year":2019,"lang":"en","type":"article","venue":"Composites Science and Technology","topic":"Composite Material Mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"General Motors of Canada","keywords":"Microstructure; Materials science; Composite material; Orientation (vector space); Tensor (intrinsic definition); Composite number; Compression (physics); Geometry; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004267047,0.0003648379,0.0004599197,0.000752683,0.0004122068,0.000298741,0.0009909571,0.0001812484,0.00004572902],"category_scores_gemma":[0.00009146578,0.0002995244,0.00004089539,0.004153686,0.0001852854,0.0002170634,0.0008770411,0.0002352461,0.0000195079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224313,"about_ca_system_score_gemma":0.00003782635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003044606,"about_ca_topic_score_gemma":0.00001316821,"domain_scores_codex":[0.9976422,0.00008252363,0.0004193004,0.0008272096,0.0004021278,0.0006266445],"domain_scores_gemma":[0.9981167,0.0002202071,0.00008628165,0.0007958178,0.0005546579,0.0002263773],"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":[0.00007134351,0.00001831281,0.000641629,0.0000382512,0.0000202565,0.000003287476,0.0003895667,0.008403807,0.9876472,0.00004208305,0.0007176148,0.002006691],"study_design_scores_gemma":[0.0005003226,0.0003014272,0.0009241718,0.0001021592,0.00003048183,0.00008138443,0.000122346,0.1082872,0.8856719,0.0001086913,0.003496914,0.0003729597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665341,0.0001616648,0.02891773,0.001850789,0.0004877185,0.001514714,0.00007692713,0.0004299403,0.00002646133],"genre_scores_gemma":[0.8028409,0.000001363326,0.1961094,0.0009019604,0.0000248064,0.00003427814,0.0000148221,0.00003869735,0.00003370164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671917,"threshold_uncertainty_score":0.9999457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116162869188867,"score_gpt":0.2711124031879517,"score_spread":0.259496116269065,"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."}}