{"id":"W2319483196","doi":"10.9734/bjast/2014/8036","title":"Neural Networks Approach for Hyperelastic Behaviour Characterization of ABS under Uniaxial Solicitation","year":2014,"lang":"en","type":"article","venue":"British Journal of Applied Science & Technology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Boulevard; Hyperelastic material; Characterization (materials science); Engineering; Civil engineering; Geography; Materials science; Structural engineering; Finite element method; Nanotechnology","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":[0.0003619178,0.00007928626,0.0002061097,0.0003390927,0.0001109341,0.00004866294,0.0002843789,0.0001302328,0.00000184175],"category_scores_gemma":[0.00004396761,0.0000931184,0.00003105218,0.0004296033,0.0002509161,0.0001756282,0.00002928331,0.0001824652,2.484241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676284,"about_ca_system_score_gemma":0.00002083214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000194823,"about_ca_topic_score_gemma":0.000001604174,"domain_scores_codex":[0.9991387,0.000004203845,0.0003637639,0.0001145022,0.0001496377,0.0002292403],"domain_scores_gemma":[0.9995269,0.0000239014,0.0001620035,0.00007166612,0.0001716287,0.00004390073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001708344,0.00002270381,0.00001705351,0.00002056525,0.000004776347,5.640151e-7,0.0000299515,0.491084,0.4899074,0.006485309,0.000002043716,0.01240854],"study_design_scores_gemma":[0.0005355759,0.0001500073,0.001290752,0.00004767624,0.00003488447,0.0002290762,0.0001011121,0.9678552,0.02587269,0.003732115,0.00001420973,0.0001366959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4966645,0.00000893865,0.5029622,0.000009333606,0.0001921721,0.00006800133,0.000001924099,0.0000327968,0.00006013449],"genre_scores_gemma":[0.9916456,0.00001971247,0.00817145,0.00001687323,0.0001160975,0.000009261811,0.000004915431,0.00001470414,0.000001401386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4949811,"threshold_uncertainty_score":0.3797258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747255840476013,"score_gpt":0.1964926077246881,"score_spread":0.189020049319928,"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."}}