{"id":"W2062713748","doi":"10.1061/9780784412619.121","title":"Decision Support System for Lateral Pipe Rehabilitation: Case Study Analysis","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Engineering; Civil engineering; Structural engineering; Computer science; Physical therapy; Medicine","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":[0.002983835,0.000499985,0.0005386611,0.002472629,0.0007603206,0.001737888,0.001122512,0.001190542,0.005854019],"category_scores_gemma":[0.008020457,0.0002813997,0.000685077,0.002722574,0.0003019393,0.001251354,0.0009293947,0.0004003851,0.000511112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299549,"about_ca_system_score_gemma":0.001355983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438988,"about_ca_topic_score_gemma":0.00388897,"domain_scores_codex":[0.9977716,0.001092355,0.0002400075,0.0002085544,0.0005376578,0.0001498664],"domain_scores_gemma":[0.9924941,0.005834871,0.000299839,0.0003042841,0.0008379816,0.0002288417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002223179,0.003284303,0.08108021,0.00270961,0.0003075576,0.01326307,0.003798482,0.5260919,0.01113356,0.0228642,0.01209939,0.3211445],"study_design_scores_gemma":[0.0002483267,0.0009395923,0.0123433,0.0002562029,0.0001140624,0.001482635,0.005713789,0.9474329,0.008970246,0.003957496,0.01846829,0.00007314465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862794,0.0005717914,0.09009758,0.0009244868,0.00004817831,0.001861585,0.004302003,0.0006755687,0.01523942],"genre_scores_gemma":[0.8962501,0.0004511618,0.09804808,0.00005857896,0.0000188159,0.0008318023,0.001999933,0.00002497798,0.002316497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005854019,"threshold_uncertainty_score":0.01958364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749474311225622,"score_gpt":0.2712869902362616,"score_spread":0.2537922471240054,"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."}}