{"id":"W2570478199","doi":"10.1080/19386362.2016.1277621","title":"Clogging potential of tunnel boring machine (TBM): a review","year":2017,"lang":"en","type":"review","venue":"International Journal of Geotechnical Engineering","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Clogging; Engineering; Identification (biology); Current (fluid); Schedule; Risk analysis (engineering); Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007771777,0.0004539291,0.001942854,0.0005465865,0.00003651994,0.00004989882,0.001656024,0.000352739,0.00002914716],"category_scores_gemma":[0.0005566024,0.0003925491,0.001183213,0.0001262368,0.00001889366,0.0001858553,0.000228696,0.001451305,0.000008100528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218604,"about_ca_system_score_gemma":0.0001064363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004108465,"about_ca_topic_score_gemma":2.964023e-7,"domain_scores_codex":[0.9969566,0.00002713725,0.001824384,0.0001875858,0.0007125962,0.0002916812],"domain_scores_gemma":[0.9980822,0.00012287,0.0009264988,0.0004031455,0.0003132957,0.0001519556],"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":[0.000004926092,0.0000341242,5.605414e-8,0.02284798,0.0009819958,0.0003580079,0.000006328299,0.1090341,0.00007108163,0.000139441,0.000338861,0.8661831],"study_design_scores_gemma":[0.0002171439,0.00003463639,6.486254e-7,0.1285029,0.0006876873,0.001809907,8.905465e-7,0.0306947,0.00002620606,0.00002390349,0.837628,0.0003733669],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004824473,0.9470633,0.04889436,0.00003758287,0.003611726,0.0001582344,0.00004549267,0.0001260083,0.00005843506],"genre_scores_gemma":[0.001528878,0.9957891,0.001520563,0.00000996675,0.000984802,0.000008428943,0.00001774975,0.0001163263,0.00002421694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8658097,"threshold_uncertainty_score":0.9998527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169733160462109,"score_gpt":0.3198743864131424,"score_spread":0.2881770548085213,"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."}}