{"id":"W2062160031","doi":"10.1139/l09-102","title":"Utility impact rating with subsurface utility engineering in project development","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington State Department of Transportation; Pennsylvania Department of Transportation","keywords":"Process (computing); Risk analysis (engineering); Service (business); Construction engineering; Transport engineering; Computer science; Engineering; Operations research; Civil engineering; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01759368,0.0009326418,0.0006194137,0.005731379,0.0006374676,0.003295355,0.001193055,0.0008476397,0.00827402],"category_scores_gemma":[0.1197541,0.0005190052,0.0005841077,0.005777742,0.001178009,0.00383994,0.002456814,0.001071076,0.002639995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471451,"about_ca_system_score_gemma":0.001295865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550308,"about_ca_topic_score_gemma":0.005705066,"domain_scores_codex":[0.9721804,0.01417652,0.002442163,0.0009235742,0.009714236,0.0005630337],"domain_scores_gemma":[0.9206033,0.05269264,0.007864557,0.005268123,0.0125239,0.001047513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006691859,0.0006492412,0.07606728,0.0006204953,0.00007000032,0.0003935305,0.002224721,0.03834245,0.003367577,0.02635291,0.01204672,0.8391961],"study_design_scores_gemma":[0.0003274843,0.003708697,0.1733308,0.001139531,0.0002451366,0.003437288,0.004639365,0.5246044,0.02684044,0.06161517,0.1994393,0.0006722852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2205484,0.0007575508,0.5887776,0.001131357,0.0002328824,0.004543712,0.002194709,0.005252669,0.1765611],"genre_scores_gemma":[0.4628845,0.0002701142,0.5299106,0.00009742139,0.00003648825,0.0009433887,0.0005573227,0.0001915607,0.005108556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01759368,"threshold_uncertainty_score":0.09304541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00636813205012601,"score_gpt":0.1962736065777992,"score_spread":0.1899054745276731,"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."}}