{"id":"W4415292521","doi":"10.2749/ghent.2025.0409","title":"Rehabilitation of Structures in India and Lessons Learnt","year":2025,"lang":"","type":"article","venue":"Report","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Precast Prestressed Concrete Institute","funders":"","keywords":"Rehabilitation; Work (physics); Government (linguistics); Key (lock)","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":[0.001527798,0.000720081,0.0004900409,0.001210214,0.001962402,0.003186813,0.002146029,0.003040004,0.005786479],"category_scores_gemma":[0.00208856,0.0002490361,0.0006084365,0.001241073,0.002252811,0.001671801,0.002260383,0.003151193,0.001485442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386362,"about_ca_system_score_gemma":0.006256986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200685,"about_ca_topic_score_gemma":0.0451433,"domain_scores_codex":[0.9986047,0.0003291772,0.00009737198,0.000139557,0.0004262269,0.0004030053],"domain_scores_gemma":[0.9990615,0.0001935305,0.00005743915,0.00005294708,0.0003075574,0.0003271466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009135393,0.001427471,0.005033884,0.003813559,0.00006690477,0.005032461,0.0170927,0.00311328,0.002077955,0.02465573,0.1668382,0.7707564],"study_design_scores_gemma":[0.00003382083,0.0006486408,0.03286846,0.00665435,0.00003935021,0.005725504,0.06109535,0.0005789381,0.001932738,0.01818383,0.8720925,0.0001464857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1243426,0.2296338,0.003446789,0.4652063,0.01577006,0.0001708397,0.0007077989,0.0003922095,0.1603296],"genre_scores_gemma":[0.5299284,0.3112298,0.008487724,0.05042242,0.004083939,0.0001550772,0.0006997272,0.0001065838,0.09488625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0200685,"threshold_uncertainty_score":0.03990334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005825801767464964,"score_gpt":0.2667894801598646,"score_spread":0.2609636783923996,"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."}}