{"id":"W1973116800","doi":"10.1155/2014/795257","title":"Reassessing the Plastic Hinge Model for Energy Dissipation of Axially Loaded Columns","year":2014,"lang":"en","type":"article","venue":"Journal of Structures","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hinge; Plastic hinge; Axial symmetry; Dissipation; Structural engineering; Materials science; Yield (engineering); Buckling; Ultimate tensile strength; Plasticity; Displacement (psychology); Test data; Composite material; Computer science; Physics; Engineering; Thermodynamics","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":[0.000381533,0.0006261852,0.0004408997,0.0004381064,0.0002704312,0.0007122165,0.001084939,0.0006336953,0.00153882],"category_scores_gemma":[0.0008340413,0.0003475038,0.0005390992,0.0002363568,0.0007801804,0.0009406597,0.0004848796,0.0005806318,0.0004253024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481757,"about_ca_system_score_gemma":0.0004714543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736103,"about_ca_topic_score_gemma":0.003260741,"domain_scores_codex":[0.9997535,0.00005545214,0.000009696703,0.00004279439,0.00009685294,0.00004163342],"domain_scores_gemma":[0.9997709,0.0001095658,0.00003427319,0.00003300074,0.00004056982,0.0000116705],"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":[0.00009321341,0.0001119939,0.003221772,0.0000680976,0.00002157785,0.0004655402,0.0001594962,0.9047247,0.06541353,0.01027043,0.0003727967,0.01507695],"study_design_scores_gemma":[0.000002817791,0.00003150137,0.0006974826,0.000005692637,0.000002884173,0.00004843779,0.00002217235,0.9954699,0.003019892,0.0004929841,0.0001978192,0.000008381573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4490609,0.0004831594,0.5389247,0.0003416864,0.00006455892,0.00009645653,0.0001614585,0.0003550243,0.01051201],"genre_scores_gemma":[0.9862989,0.0001875608,0.01091551,0.00003707562,0.00001389173,0.00005153904,0.00004254244,0.00006305068,0.002389976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736103,"threshold_uncertainty_score":0.007428706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009786397582082615,"score_gpt":0.2310600199315297,"score_spread":0.2212736223494471,"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."}}