{"id":"W2899419623","doi":"10.1139/cjce-2018-0249","title":"Financial issues in construction companies: bibliometric analysis and trends","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finance; Capital structure; Identification (biology); Scopus; Productivity; Business; Economics; Political science; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001084989,0.0000795095,0.0002514926,0.1328826,0.00007080854,0.0002215595,0.0002141167,0.00003927895,0.001030772],"category_scores_gemma":[0.0007186654,0.00007063248,0.00007187651,0.1023189,0.00009686963,0.0004568607,0.00001364383,0.0001235334,0.000005982036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005034504,"about_ca_system_score_gemma":0.0001197813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106114,"about_ca_topic_score_gemma":0.2615676,"domain_scores_codex":[0.9988984,0.00002085588,0.0004706288,0.0001170301,0.0003079829,0.0001851162],"domain_scores_gemma":[0.9992137,0.00009402456,0.0001602428,0.0001185033,0.000246995,0.0001665539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001122484,0.00000354029,0.691739,0.000007071431,0.00009376849,0.00003263894,0.0008145095,0.005164319,0.0000307704,0.00147058,0.003300412,0.2973322],"study_design_scores_gemma":[0.000253259,0.00006555241,0.9248784,0.00002170588,0.00004556892,0.00006619919,0.0001794782,0.01817239,0.00003647904,0.000501419,0.05566382,0.0001157194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875655,0.000678014,0.007854121,0.0002617458,0.0009580601,0.0000221481,0.000004589431,0.000005743987,0.002650092],"genre_scores_gemma":[0.9989266,0.00004961842,0.0006267168,0.00001989707,0.000213681,3.573572e-7,3.350735e-7,0.000003402966,0.0001593414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2972165,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213582071558255,"score_gpt":0.2975941278906493,"score_spread":0.2654583071750667,"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."}}