{"id":"W2320721741","doi":"10.3130/aija.77.775","title":"METHODS OF ESTIMATING EXTERIOR LIFE CYCLE REPAIR COST AND OPTIMIZING THE ANNUAL RENEWAL INVESTMENT FOR A GROUP OF FACILITIES","year":2012,"lang":"en","type":"article","venue":"Journal of Architecture and Planning (Transactions of AIJ)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Investment (military); Order (exchange); Operations management; Reliability engineering; Appropriation; Flexibility (engineering); Engineering; Business; Mathematics; Finance; Statistics","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":[0.001957878,0.001063875,0.0009006496,0.002463177,0.0004359982,0.001065278,0.00133364,0.0005821014,0.001836356],"category_scores_gemma":[0.004623668,0.0005782243,0.0007640022,0.001651854,0.0003424069,0.001306171,0.0004786425,0.0006137866,0.000371759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540124,"about_ca_system_score_gemma":0.001709301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005928469,"about_ca_topic_score_gemma":0.006320007,"domain_scores_codex":[0.9986144,0.000443062,0.0001012656,0.0002456409,0.0005112283,0.00008434652],"domain_scores_gemma":[0.9985259,0.0005142812,0.0002189037,0.0001700279,0.0005306543,0.00004029371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009476896,0.00009006563,0.00565198,0.0002298806,0.00007259352,0.00004019055,0.0001027316,0.6266781,0.006288824,0.01628122,0.001348871,0.3431208],"study_design_scores_gemma":[0.00001373627,0.00004985218,0.003049198,0.00002597217,0.00005523894,0.00008531848,0.00003996451,0.9801853,0.008664627,0.004794631,0.002998374,0.00003787227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005613175,0.00008985384,0.9931803,0.00002018449,0.000006875369,0.0000494608,0.00003963103,0.000155724,0.0008448699],"genre_scores_gemma":[0.1321425,0.0002787595,0.8657041,0.00001195394,0.00001628676,0.0002902604,0.0002053669,0.0001133181,0.001237453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005928469,"threshold_uncertainty_score":0.01178789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579062082995435,"score_gpt":0.273433810777609,"score_spread":0.2576431899476547,"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."}}