{"id":"W2557311235","doi":"10.4043/27331-ms","title":"Numerical Investigation of FRP Laminates Under Ice Loading","year":2016,"lang":"en","type":"article","venue":"Arctic Technology Conference","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"","keywords":"Fibre-reinforced plastic; Fracture (geology); Materials science; Structural engineering; Computer simulation; Numerical models; Field (mathematics); Full scale; Composite material; Engineering; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006119384,0.0001111954,0.000171846,0.00014199,0.00002010998,0.000006052489,0.0002659175,0.0001702444,0.0001378069],"category_scores_gemma":[0.00008517472,0.00008758975,0.00002441025,0.0002393921,0.0001846536,0.00009078597,0.00004928817,0.0001383272,0.00007581742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006595001,"about_ca_system_score_gemma":0.00001631896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261735,"about_ca_topic_score_gemma":0.000001940638,"domain_scores_codex":[0.9993336,0.00001497661,0.0002064659,0.000157129,0.00009530781,0.0001924784],"domain_scores_gemma":[0.9994262,0.0001285016,0.00004298631,0.0002762947,0.00008061253,0.0000454115],"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":[0.00000238351,0.000005650838,0.007555135,0.00002579587,0.000014894,0.000002010447,0.0000211417,0.00001196956,0.8579037,0.1262312,0.00001578178,0.00821037],"study_design_scores_gemma":[0.0001976863,0.00006757623,0.01311141,0.0001766779,0.00001970573,0.00001347208,0.00004019309,0.001030151,0.921492,0.06363371,0.00006023714,0.000157223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139455,0.00007978493,0.08354302,0.001305234,0.00008038931,0.00007861462,0.000001351597,0.0005782232,0.0003878932],"genre_scores_gemma":[0.9958469,0.00002360724,0.004037363,0.00002001584,0.000006946934,0.00001774661,7.968185e-7,0.00001479578,0.00003188561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08190136,"threshold_uncertainty_score":0.3571807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817512683835281,"score_gpt":0.2260285176627451,"score_spread":0.2078533908243923,"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."}}