{"id":"W4407080208","doi":"10.1007/s11661-025-07693-9","title":"Rate Your Sensitivity—The m’s Have It","year":2025,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Construction Engineering and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sensitivity (control systems); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131498,0.0001024974,0.0001605815,0.00004343778,0.000126339,0.00008221991,0.00003101795,0.00005591902,0.0004297119],"category_scores_gemma":[0.000004690285,0.00008089431,0.00004743813,0.00008848076,0.0000522626,0.00005595049,0.000003982806,0.00009017663,0.0000135848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001088223,"about_ca_system_score_gemma":0.00000616886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003918006,"about_ca_topic_score_gemma":0.00004743907,"domain_scores_codex":[0.9995123,0.00004325086,0.0001644826,0.0001076445,0.00004123851,0.0001310496],"domain_scores_gemma":[0.9997867,0.00005219568,0.000007340288,0.0001021554,0.00001430461,0.0000373439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001386427,0.0001474257,0.000005365512,0.0006948476,0.001397247,0.000125843,0.0007022513,0.476305,0.4174189,0.01403084,0.00148595,0.0875477],"study_design_scores_gemma":[0.001594334,0.00003194717,0.00519889,0.0001402751,0.0004870537,0.0005750188,0.0005136004,0.186327,0.05918824,0.001023096,0.7441174,0.0008031827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313988,0.0001404052,0.8634202,0.001104389,0.00108379,0.0001196252,0.00003317979,0.0002975577,0.002402011],"genre_scores_gemma":[0.9970254,0.0002422182,0.0002773496,0.0000623497,0.0000332659,0.00002330363,0.000002859181,0.000008916375,0.002324395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8656265,"threshold_uncertainty_score":0.4705044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471749706607985,"score_gpt":0.2078659094244775,"score_spread":0.1993941597178695,"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."}}