{"id":"W4210772107","doi":"10.1002/pse.130","title":"Editorial overview","year":2002,"lang":"en","type":"article","venue":"Progress in Structural Engineering and Materials","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Library science; Engineering; Art history; Management; Art; Computer science","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":[0.0001585027,0.0001499061,0.0002261009,0.0001471241,0.00004630224,0.0003309125,0.0001120264,0.0000627029,0.0001697424],"category_scores_gemma":[0.0001036836,0.0001304575,0.0000242316,0.0002064298,0.00002428441,0.0004150383,0.000105203,0.00006729478,0.00002801755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001393289,"about_ca_system_score_gemma":0.000001027654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007316991,"about_ca_topic_score_gemma":0.000001936677,"domain_scores_codex":[0.9991987,0.00000486551,0.0002232919,0.0001933398,0.0001488466,0.0002309017],"domain_scores_gemma":[0.9997467,0.00001722277,0.00007272721,0.0001170166,0.00003507467,0.0000112162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003613447,0.0002817183,0.2152498,0.01930548,0.0008848014,0.0002867693,0.001514438,0.006803649,0.04050488,0.1641711,0.1248956,0.4257405],"study_design_scores_gemma":[0.007090478,0.0000664648,0.1527601,0.001963918,0.0005447015,0.0000566156,0.0001277085,0.2559808,0.00465778,0.006964958,0.5651193,0.004667199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747745,0.001717165,0.0000041458,0.0001536254,0.02291812,0.0001043283,0.000003044931,0.0001936265,0.0001313781],"genre_scores_gemma":[0.9639367,0.00004451124,0.0003196861,0.0000483357,0.03558817,0.00001938135,0.000007534878,0.00002015692,0.00001552937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4402237,"threshold_uncertainty_score":0.5319901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148210385869007,"score_gpt":0.2270227740942576,"score_spread":0.2122017355073569,"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."}}