{"id":"W4413450911","doi":"10.1016/j.compstruct.2025.119589","title":"A reliable framework for assessing the impact resistance and post-impact damage tolerance of 3D hybrid composites against high-energy fragments and hailstones","year":2025,"lang":"en","type":"article","venue":"Composite Structures","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Impact resistance; Damage tolerance; Materials science; Composite material; Impact energy; Resistance (ecology); Structural engineering; Composite number; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510061,0.001098865,0.0003758664,0.00181077,0.0004123087,0.000820392,0.0008323348,0.0008765862,0.001061744],"category_scores_gemma":[0.001079903,0.0003405386,0.0003599006,0.0006081773,0.0007071,0.0007317679,0.0006661653,0.0004860844,0.0003274697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006013577,"about_ca_system_score_gemma":0.0005694121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004325,"about_ca_topic_score_gemma":0.003157491,"domain_scores_codex":[0.9994596,0.00004240073,0.00002326299,0.00009611523,0.0003312108,0.00004743823],"domain_scores_gemma":[0.9995567,0.00008414557,0.0001196634,0.00007234223,0.0001457095,0.00002138783],"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":[0.000106744,0.0001177917,0.006721455,0.0002655637,0.00004577171,0.0001448159,0.0001577736,0.09869358,0.8531637,0.005395585,0.0003131875,0.03487408],"study_design_scores_gemma":[0.000007613428,0.0003108598,0.03011616,0.00004724949,0.0000791489,0.0003380524,0.0002040266,0.5119262,0.4499176,0.003031344,0.003931403,0.00009026813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4498839,0.0008035167,0.5413789,0.00004310776,0.00002497695,0.0001318,0.0009009304,0.001006076,0.005826704],"genre_scores_gemma":[0.9218139,0.0002965057,0.07624235,0.00001597194,0.000005577723,0.0001497419,0.0004173894,0.00008400272,0.0009745238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004325,"threshold_uncertainty_score":0.00436312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008438638303138122,"score_gpt":0.3056307959716087,"score_spread":0.2971921576684706,"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."}}