{"id":"W4315628712","doi":"10.1016/j.heliyon.2023.e12924","title":"Risk factors influencing tunnel construction safety: Structural equation model approach","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural equation modeling; Latent variable; Engineering; Tunnel construction; Transport engineering; Control (management); Construction management; Construction site safety; Civil engineering; Railway tunnel; Risk analysis (engineering); Computer science; Business; Structural engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001074589,0.0001762742,0.0002440512,0.0003181579,0.001922754,0.00001310648,0.0001519135,0.0002868255,0.0001889306],"category_scores_gemma":[0.0007346261,0.0001511702,0.00007062687,0.0007314584,0.00006880006,0.00028563,0.0001105895,0.0009481346,0.0007435503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958408,"about_ca_system_score_gemma":0.0006511422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000419726,"about_ca_topic_score_gemma":0.0000637694,"domain_scores_codex":[0.9970348,0.0005367749,0.0006513342,0.0003651257,0.0006235815,0.0007883995],"domain_scores_gemma":[0.998082,0.000818915,0.0002472968,0.0002936696,0.0002895254,0.0002685858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003452588,0.00001312826,0.9349302,0.001257351,0.00002303301,9.933993e-7,0.00514984,0.04277119,0.0002224296,0.007567001,0.0003036385,0.00741594],"study_design_scores_gemma":[0.0005733548,0.00003550181,0.5886735,0.0001073005,0.00000960223,7.462546e-7,0.003056085,0.4048543,0.00001531738,0.002306614,0.0002230112,0.0001446413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834146,0.0000888392,0.007472533,0.0002586021,0.0006935125,0.001104608,0.000218472,0.000367336,0.006381454],"genre_scores_gemma":[0.9946039,0.0007421373,0.002481919,0.0001519813,0.0003460931,0.0001454994,0.000676532,0.00003660101,0.0008153749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620831,"threshold_uncertainty_score":0.9993766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376135250270704,"score_gpt":0.4348664926508678,"score_spread":0.2972529676237974,"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."}}