{"id":"W4388635509","doi":"10.1080/09243046.2023.2279001","title":"Experimental characterization of multiscale solidification in thermoset CFRP during gelation for flow and stress modeling","year":2023,"lang":"en","type":"article","venue":"Advanced Composite Materials","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Council for Science, Technology and Innovation","keywords":"Materials science; Thermosetting polymer; Composite material; Rheology; Percolation (cognitive psychology); Dynamic mechanical analysis; Flow (mathematics); Matrix (chemical analysis); Modulus; Shear (geology); Polymer; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003451424,0.000445789,0.0002627934,0.000301003,0.0002858758,0.0001971221,0.0002024075,0.0003917487,0.001426578],"category_scores_gemma":[0.0003916113,0.0002019353,0.0002391317,0.0003388984,0.0004160278,0.0003530638,0.0001970294,0.0007019124,0.0001640786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246983,"about_ca_system_score_gemma":0.0001544735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005873067,"about_ca_topic_score_gemma":0.001180479,"domain_scores_codex":[0.9998143,0.00001254942,0.00001217366,0.00004989038,0.00006999625,0.00004111251],"domain_scores_gemma":[0.999546,0.0001478956,0.0001348136,0.00005649378,0.00007451222,0.00004039169],"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":[0.00002862047,0.00001668696,0.0001414899,0.00002499833,0.000001167068,0.00002383045,0.00006834487,0.000195231,0.9988909,0.00004747059,0.00001078652,0.0005504919],"study_design_scores_gemma":[0.000005134061,0.0001999466,0.004349124,0.000005231618,0.000004595262,0.00002636546,0.00002972385,0.00190767,0.9931434,0.00002520342,0.0002970435,0.000006579239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932728,0.0002153757,0.005276491,0.00001461414,0.000008506883,0.00003638793,0.0002987151,0.0001329317,0.000744206],"genre_scores_gemma":[0.9946288,0.0001530563,0.004551723,0.00001272921,0.000005045253,0.0000764869,0.0001439391,0.00003994816,0.0003882274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426578,"threshold_uncertainty_score":0.004772365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151602323042148,"score_gpt":0.2346803254952233,"score_spread":0.2231643022648018,"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."}}