{"id":"W4362519612","doi":"10.3390/polym15071723","title":"Comparison of the Low-Velocity Impact Responses and Compressive Residual Strengths of GLARE and a 3DFML","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual; GLARE; Materials science; Composite material; Compressive strength; Computer science; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.00007038404,0.0001007478,0.000229156,0.00006259837,0.00003609949,0.000009031234,0.0001180377,0.00005222881,0.00005097015],"category_scores_gemma":[0.00006482555,0.00007546865,0.0000418432,0.0001803725,0.0001050019,0.00003633591,0.00009631654,0.0001021146,0.000001532571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001004406,"about_ca_system_score_gemma":0.00001120251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006124483,"about_ca_topic_score_gemma":0.000008207647,"domain_scores_codex":[0.9993688,0.0000498282,0.0001957011,0.00009440326,0.0001504493,0.000140792],"domain_scores_gemma":[0.9993907,0.0003084181,0.00005417494,0.0001774915,0.00001733682,0.00005194339],"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":[0.0001737457,0.00004136645,0.1555546,0.000226133,0.0001219655,0.000003271113,0.001924777,0.0005963129,0.825472,0.0001520167,0.001112791,0.01462101],"study_design_scores_gemma":[0.0003023558,0.00007065557,0.4197815,0.00009634667,0.00004095152,0.000002177206,0.0003440456,0.007761013,0.5714469,0.00002214808,0.00002718927,0.0001046638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986736,0.0008790398,0.000009747503,0.00005835734,0.00005600183,0.00009187431,0.0000945462,0.00005026869,0.0000865605],"genre_scores_gemma":[0.9998417,0.00003363467,0.00006546589,0.000003072735,0.000008453108,0.000002831612,0.000003810336,0.00001304118,0.00002800022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2642269,"threshold_uncertainty_score":0.3077522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997651638462756,"score_gpt":0.317345819890603,"score_spread":0.2973693035059755,"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."}}