{"id":"W4253632480","doi":"10.1115/1.0003446v","title":"Using Results of Western Canadian Flood Scour Assessments to Provide a Simple Screening Tool for Pipeline Watercourse Crossings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Pipeline (software); Simple (philosophy); Hydrology (agriculture); Environmental science; Computer science; Environmental resource management; Geography; Geology; Water resource management; Geotechnical engineering; Archaeology","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":[0.0008537906,0.0008697406,0.000288673,0.00389074,0.001874798,0.001947663,0.0004915686,0.0004242257,0.003001959],"category_scores_gemma":[0.002836873,0.0002106427,0.0003883553,0.003999822,0.000379352,0.000650301,0.0006841192,0.0003369024,0.0008310121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007589705,"about_ca_system_score_gemma":0.01358202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9654329,"about_ca_topic_score_gemma":0.9903606,"domain_scores_codex":[0.9988469,0.00006394521,0.00003448171,0.0001061125,0.0006729525,0.000275486],"domain_scores_gemma":[0.9967777,0.0001678797,0.0001680819,0.0001104033,0.002595859,0.0001800385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004825916,0.0002679444,0.6000326,0.0004234536,0.0003241824,0.001038864,0.003793061,0.05856359,0.05230385,0.002256131,0.0230031,0.2575106],"study_design_scores_gemma":[0.00003317553,0.0000966722,0.9048551,0.0001215096,0.0001664921,0.0001152951,0.003567611,0.04764481,0.01692973,0.0007096165,0.02563328,0.0001266134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001817,0.0002521638,0.01460761,0.0002295881,0.00005509546,0.000310196,0.01009335,0.0006697864,0.07360061],"genre_scores_gemma":[0.9732463,0.0001862747,0.01132272,0.00004318588,0.000004988932,0.00004471988,0.002956658,0.00009507589,0.01210004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03456706,"threshold_uncertainty_score":0.06954122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783152243099194,"score_gpt":0.306679157617626,"score_spread":0.2688476351866341,"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."}}