{"id":"W2802555160","doi":"","title":"Full field strain measurements by digital image correlation for the validation of micro-scale mechanical models of polymer matrix composites","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Digital image correlation; Composite material; Materials science; Matrix (chemical analysis); Strain (injury); Scale (ratio); Field (mathematics); Polymer; Mathematics; Physics","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":[0.003164991,0.0002398168,0.0003512566,0.00009569642,0.0002144416,0.0005506417,0.002505677,0.0002311225,0.00001720549],"category_scores_gemma":[0.0007085808,0.0002068832,0.0002466511,0.0001025347,0.0001748332,0.0005523417,0.001018357,0.0003076744,0.000002439758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000497843,"about_ca_system_score_gemma":0.0001193241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180597,"about_ca_topic_score_gemma":0.00003651462,"domain_scores_codex":[0.9973871,0.0007042094,0.0006423227,0.0004901603,0.0005526856,0.0002235769],"domain_scores_gemma":[0.9938503,0.001164728,0.0008798916,0.001824326,0.002207788,0.00007300318],"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":[0.0000740375,0.0007581654,0.0003714816,0.0002431799,0.0001535838,1.649796e-7,0.002007788,0.00009398203,0.901747,0.0664027,0.00172078,0.02642712],"study_design_scores_gemma":[0.000244806,0.000005375072,0.00003254632,0.0007142852,0.00004153252,8.91974e-7,0.00001760367,0.09936475,0.8868185,0.01251897,0.00005896252,0.0001817489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009332911,0.0004651075,0.978891,0.004071907,0.0001582972,0.0007165927,0.0001886498,0.00009587812,0.006079635],"genre_scores_gemma":[0.8870806,0.00007196597,0.1119689,0.00001920207,0.000009763767,0.00006347593,0.0002072459,0.00001717596,0.0005617882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8777476,"threshold_uncertainty_score":0.843645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548391921504161,"score_gpt":0.2671037037580128,"score_spread":0.2316197845429712,"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."}}