{"id":"W4393497908","doi":"10.5281/zenodo.6653941","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":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Span (engineering); Quarter (Canadian coin); Limit (mathematics); Parametric statistics; Arch; Structural engineering; Masonry; Mathematics; Engineering; Statistics; Geography; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008933264,0.002739217,0.001453119,0.003063554,0.0006704445,0.001609327,0.002501563,0.002649717,0.04063025],"category_scores_gemma":[0.004440392,0.0007424481,0.001619887,0.004542609,0.0003887976,0.001020874,0.001139012,0.001541691,0.05824457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189068,"about_ca_system_score_gemma":0.001409592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417918,"about_ca_topic_score_gemma":0.02302372,"domain_scores_codex":[0.9988992,0.0001134274,0.0001489267,0.0002892097,0.0004277972,0.0001212918],"domain_scores_gemma":[0.9975598,0.0008593984,0.0001883114,0.0006443859,0.0006222241,0.000125869],"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":[0.0002502078,0.0001403994,0.00279365,0.002475278,0.00008080225,0.0001093934,0.00004581691,0.004835278,0.001052519,0.001219957,0.9781607,0.008836076],"study_design_scores_gemma":[0.0003718335,0.00007379628,0.009454351,0.0004736152,0.00007010627,0.0001934251,0.0001291767,0.004355667,0.002609412,0.002028947,0.9801711,0.00006865594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005250387,0.00007603961,0.0002316797,0.00003059238,0.00001904473,0.000012498,0.9974872,0.0006926798,0.0009253394],"genre_scores_gemma":[0.0009748304,0.00006307197,0.0005062418,0.00001665937,0.000003081527,0.00004832231,0.9977586,0.0001107783,0.0005183915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04063025,"threshold_uncertainty_score":0.1359217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893189562455129,"score_gpt":0.2290209644467064,"score_spread":0.2000890688221551,"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."}}