{"id":"W2966941958","doi":"10.3390/jmse7080262","title":"Experimental Study on Extreme Hydrodynamic Loading on Pipelines Part 2: Induced Force Analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Federal Emergency Management Agency","keywords":"Flume; Pipeline transport; Storm surge; Environmental science; Geotechnical engineering; Lift (data mining); Coastal flood; Surge; Geology; Marine engineering; Storm; Flow (mathematics); Engineering; Climate change; Oceanography; Sea level rise","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000286955,0.000467815,0.0002947432,0.0004078601,0.0005024651,0.0002490199,0.0003672416,0.0004691869,0.003203124],"category_scores_gemma":[0.0006983531,0.0002324658,0.000266248,0.0003409313,0.0006397695,0.000388737,0.0006048817,0.0004862883,0.00029081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222491,"about_ca_system_score_gemma":0.0002583754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006222044,"about_ca_topic_score_gemma":0.0007714516,"domain_scores_codex":[0.9995875,0.00003891586,0.00002784291,0.00007528591,0.0001494985,0.0001208713],"domain_scores_gemma":[0.9993963,0.0001874032,0.00009935527,0.0001014893,0.0001343659,0.00008104819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006198211,0.0005904953,0.00420765,0.0001761722,0.00001182166,0.0003999843,0.0003680575,0.006157725,0.9796133,0.0003483183,0.0002845981,0.007221988],"study_design_scores_gemma":[0.0001171095,0.01140048,0.04278356,0.0000317774,0.00003801186,0.000316212,0.0008835022,0.02156315,0.9200062,0.0002690915,0.00253026,0.00006060905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964482,0.00004335063,0.002463516,0.00002235081,0.00001531686,0.00005829004,0.000176211,0.00003491636,0.0007377605],"genre_scores_gemma":[0.9966835,0.0001043144,0.001830213,0.00001232012,0.000006897897,0.00005452626,0.0001364701,0.000009233215,0.001162427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003203124,"threshold_uncertainty_score":0.01071554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325890489912189,"score_gpt":0.2304527143114275,"score_spread":0.2171938094123056,"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."}}