{"id":"W2989719636","doi":"10.1115/ipg2019-5314","title":"Watercourse Crossing Program: 10 Years Performance","year":2019,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Pipeline transport; Terrain; Pipeline (software); Environmental science; Hydrology (agriculture); Engineering; Geography; Cartography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775619,0.0005188821,0.000474991,0.001483449,0.001321605,0.001491519,0.0009587279,0.0006934101,0.005736721],"category_scores_gemma":[0.005578899,0.0002102747,0.0005644802,0.001392964,0.0003826244,0.0009853011,0.001313781,0.0008334781,0.002686453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006525797,"about_ca_system_score_gemma":0.00967897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1527882,"about_ca_topic_score_gemma":0.1970543,"domain_scores_codex":[0.9967194,0.000340922,0.0001240859,0.0003696014,0.001367087,0.001078891],"domain_scores_gemma":[0.9896571,0.0004374628,0.0005717732,0.0004311361,0.004849974,0.004052403],"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":[0.005828937,0.03582831,0.2986054,0.0002496129,0.0002929382,0.0005342313,0.002189628,0.01083344,0.004050672,0.0007860393,0.06717604,0.5736248],"study_design_scores_gemma":[0.000576652,0.02230037,0.9271847,0.0001202952,0.000161522,0.0002511026,0.00232398,0.009852624,0.0038315,0.0002354321,0.03304601,0.0001158538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729362,0.0002693337,0.001065721,0.000894012,0.0001215197,0.0008207617,0.005718666,0.0008710402,0.01730274],"genre_scores_gemma":[0.9663582,0.0002470658,0.00204701,0.000300816,0.00005342322,0.0003111752,0.01212374,0.00009813719,0.01846041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1527882,"threshold_uncertainty_score":0.3037978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004704077810051725,"score_gpt":0.2024099570993367,"score_spread":0.197705879289285,"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."}}