{"id":"W2037172886","doi":"10.6106/kjcem.2014.15.4.107","title":"A Study on Developing the Business Index of Electrical Construction Business","year":2014,"lang":"en","type":"article","venue":"Korean Journal of Construction Engineering and Management","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Business cycle; Construction industry; Business; Pessimism; Housing industry; Engineering; Computer science; Economics; Construction engineering; Telecommunications; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003921283,0.0004525731,0.0002701112,0.004717429,0.0008319835,0.002483747,0.00042112,0.0003638658,0.0020798],"category_scores_gemma":[0.009349139,0.0002022956,0.0006416178,0.007103128,0.0004955362,0.002953281,0.0007979989,0.0008877596,0.0004780434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316063,"about_ca_system_score_gemma":0.003292707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007746031,"about_ca_topic_score_gemma":0.006982358,"domain_scores_codex":[0.9972016,0.0009919831,0.0002762633,0.0002840529,0.001066545,0.0001795728],"domain_scores_gemma":[0.9926192,0.002874734,0.0008167916,0.0002638551,0.003011055,0.0004143573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001796864,0.0006855979,0.7415841,0.0004566477,0.0001082026,0.0003539009,0.003747392,0.001564814,0.003448847,0.01793604,0.006513932,0.2234209],"study_design_scores_gemma":[0.00005567833,0.001123368,0.8779305,0.0005058981,0.0002367109,0.0005534424,0.02577017,0.02306629,0.01152937,0.005619088,0.05351167,0.00009786718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197255,0.001930681,0.01548705,0.00144207,0.0001643081,0.0005144273,0.0008863849,0.00007442412,0.05977506],"genre_scores_gemma":[0.9749876,0.001553334,0.017209,0.0001354509,0.00006437394,0.0003254973,0.0009914151,0.00001604786,0.004717267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007746031,"threshold_uncertainty_score":0.02073801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022902370105693,"score_gpt":0.2324318288941189,"score_spread":0.222202805193062,"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."}}