{"id":"W4411858658","doi":"10.4050/f-0081-2025-0147","title":"Composite Laminate Resin Pooling Defect Strength Reduction Quantification","year":2025,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Composite number; Materials science; Composite material; Reduction (mathematics); Pooling; Computer science; Artificial intelligence; Mathematics","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":[0.0008539301,0.000700416,0.0003763004,0.001728576,0.0002040869,0.0003774578,0.0005049849,0.0004996922,0.001872775],"category_scores_gemma":[0.001105412,0.0003416777,0.0002884491,0.0003701469,0.0004607625,0.0003734268,0.0003648531,0.0003785374,0.0003058906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000313868,"about_ca_system_score_gemma":0.0002181407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004151826,"about_ca_topic_score_gemma":0.00126833,"domain_scores_codex":[0.999386,0.0000495253,0.00002416614,0.000117283,0.0003801891,0.00004291358],"domain_scores_gemma":[0.9978641,0.0006727319,0.000415535,0.0002209574,0.0007634892,0.00006326335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001093327,0.00005670115,0.003130241,0.000136173,0.00001495851,0.00005475992,0.0001134572,0.009289314,0.9504718,0.0003073906,0.00007990335,0.03623603],"study_design_scores_gemma":[0.000005535231,0.0002843332,0.01476214,0.0000109582,0.00003033943,0.0001683791,0.00005598762,0.05392418,0.9296475,0.0001620114,0.0009244091,0.00002416306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7409021,0.000335767,0.2555264,0.00002608252,0.00001975892,0.00007000844,0.0001770807,0.0007134428,0.002229461],"genre_scores_gemma":[0.9169455,0.0001341008,0.08087862,0.00001408016,0.000004792497,0.00005251392,0.0001284118,0.00008413392,0.001757807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001872775,"threshold_uncertainty_score":0.006265044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158710445673414,"score_gpt":0.256999168464814,"score_spread":0.2454120640080799,"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."}}