{"id":"W4393493227","doi":"10.5281/zenodo.6811797","title":"Data from the parametric analysis of masonry buttressed arches with limit analysis subjected to vertical self-weight plus a proportional concentrated vertical live load applied at quarter-span","year":2022,"lang":"en","type":"dataset","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural engineering; Span (engineering); Arch; Quarter (Canadian coin); Masonry; Parametric statistics; Limit (mathematics); Structural load; Limit analysis; Geotechnical engineering; Geology; Engineering; Mathematics; Finite element method; Geography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001254141,0.000494872,0.001390575,0.002219018,0.0003992394,0.00007475456,0.003360614,0.0002499075,0.005509288],"category_scores_gemma":[0.0007215939,0.0004146922,0.0002908105,0.01278617,0.0007787033,0.0001743981,0.002014691,0.001767084,0.00005004127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562715,"about_ca_system_score_gemma":0.0009292233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008833803,"about_ca_topic_score_gemma":0.009383451,"domain_scores_codex":[0.9931316,0.0004295361,0.0005657782,0.00140707,0.003403933,0.001062098],"domain_scores_gemma":[0.99407,0.001497636,0.00009390617,0.003022401,0.0008149617,0.0005011297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002562875,0.000503145,0.002591202,0.0006048759,0.03371967,0.0003982339,0.001848478,0.08513965,0.001565624,0.00001244834,0.8708501,0.0002036975],"study_design_scores_gemma":[0.004913272,0.001624228,0.2888588,0.0002296209,0.02618239,0.00002688448,0.003952609,0.1637451,0.002483205,0.00002238565,0.5049465,0.003014953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3699162,0.0005098216,0.0001738639,0.0001965351,0.00004907282,0.0009236964,0.6281124,0.00009695018,0.00002144126],"genre_scores_gemma":[0.3825837,0.000309965,0.0001955458,0.00000397857,0.00004909018,0.00001125994,0.6167814,0.00002749885,0.00003758547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3659036,"threshold_uncertainty_score":0.9998305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824640417936383,"score_gpt":0.2711333819277496,"score_spread":0.2328869777483858,"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."}}