{"id":"W4402826772","doi":"10.1007/978-3-031-61531-3_11","title":"Determining Material Properties of a Historical Industrial Steel Frame Structure","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Frame (networking); Engineering; Mechanical engineering","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":[0.0001586119,0.0001679207,0.0001121146,0.001656598,0.0006257309,0.0004812823,0.0003477754,0.0003482742,0.00410789],"category_scores_gemma":[0.0006988198,0.0002300858,0.0001181778,0.001094397,0.0005944782,0.0003597128,0.0001369546,0.0002030754,0.0007100407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005772095,"about_ca_system_score_gemma":0.0002314652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008862421,"about_ca_topic_score_gemma":0.0254129,"domain_scores_codex":[0.9998957,0.00001352174,0.000003634389,0.00004091913,0.00003359534,0.00001271765],"domain_scores_gemma":[0.9998197,0.00007822313,0.00002541253,0.00001700896,0.0000518297,0.000007923835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008429579,0.0001993582,0.2474703,0.0003262178,0.00007875611,0.002414792,0.003394363,0.04536891,0.4954266,0.01406233,0.001832005,0.1885834],"study_design_scores_gemma":[0.00002149336,0.0005406221,0.7809041,0.00004736209,0.0001381413,0.001075782,0.001976403,0.03843292,0.1543124,0.001831739,0.0206732,0.00004582233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681975,0.0002766129,0.006067411,0.0000242613,0.00001070934,0.00001547823,0.0003182296,0.00004853261,0.0250413],"genre_scores_gemma":[0.9957811,0.00007210548,0.001607428,0.000002499633,0.000002183048,0.000002128835,0.0001325028,0.00001736594,0.002382841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008862421,"threshold_uncertainty_score":0.0176217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070909100746815,"score_gpt":0.2275069546263051,"score_spread":0.186797863618837,"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."}}