{"id":"W2517391189","doi":"10.15866/iremos.v9i3.8703","title":"Analytical Modelling of Elastic-Plastic Interference Fit Joints","year":2016,"lang":"en","type":"article","venue":"International Review on Modelling and Simulations (IREMOS)","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Interference fit; Interference (communication); Materials science; Structural engineering; Forensic engineering; Mechanical engineering; Computer science; Engineering; Composite material; Telecommunications","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":[0.0001426579,0.0001726301,0.0002887597,0.0001333063,0.0000366363,0.00002222164,0.0002055475,0.0000581214,0.0002174592],"category_scores_gemma":[0.0001542158,0.000128347,0.00008779953,0.0001110846,0.00003650243,0.0001343178,0.00003532745,0.0001294761,0.00005970667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005347513,"about_ca_system_score_gemma":0.00001154409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000287572,"about_ca_topic_score_gemma":5.796434e-7,"domain_scores_codex":[0.9987428,0.00002641373,0.0005453927,0.0002262289,0.0003069559,0.0001521944],"domain_scores_gemma":[0.9985419,0.0008942443,0.00007414754,0.000207977,0.0001847297,0.00009699658],"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":[0.00001051444,0.00002811556,0.0001158937,0.0001233887,0.00003285786,0.000001188028,0.000009455271,0.9885806,0.0002705289,0.005795166,0.00003065527,0.005001676],"study_design_scores_gemma":[0.0001811612,0.00003282318,0.00002535635,0.003515265,0.00006031634,0.000003206815,8.334665e-7,0.9933944,0.0004283598,0.001773543,0.0004392494,0.0001455233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1360539,0.001002279,0.8617686,0.0001808844,0.0002324126,0.0001174804,0.00004045856,0.00006999583,0.0005339709],"genre_scores_gemma":[0.9914603,0.003737054,0.004569459,0.00004331204,0.000048922,0.000006079219,0.000008705082,0.00002180743,0.0001043946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8571991,"threshold_uncertainty_score":0.5233838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08454760972175297,"score_gpt":0.3063907494148784,"score_spread":0.2218431396931255,"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."}}