{"id":"W2064676450","doi":"10.4043/22085-ms","title":"Pipeline Routing and Burial Depth Analysis Using GIS Software","year":2011,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Subsea; Submarine pipeline; Pipeline transport; Seabed; Pipeline (software); Marine engineering; Geographic information system; Engineering; Geology; Oceanography; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000822638,0.000881783,0.0004026842,0.003189393,0.0003900312,0.001114872,0.0008224491,0.0004022708,0.006743495],"category_scores_gemma":[0.002204544,0.0004768221,0.0007834828,0.002346022,0.0002421225,0.0007500112,0.0005569033,0.0003297759,0.001053349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110574,"about_ca_system_score_gemma":0.00135853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911857,"about_ca_topic_score_gemma":0.01608536,"domain_scores_codex":[0.9995642,0.00008745258,0.00004399603,0.00006668293,0.0002046035,0.00003303759],"domain_scores_gemma":[0.9987471,0.0005788874,0.000119155,0.000115144,0.0004072713,0.00003239551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001777537,0.0001155199,0.01215901,0.0002874954,0.00011035,0.0002166,0.0004009402,0.7928135,0.01148172,0.01007904,0.007424582,0.1647333],"study_design_scores_gemma":[0.00001653516,0.00003711495,0.00204501,0.00001564204,0.00001949627,0.00005024762,0.0001172336,0.9827591,0.006594012,0.002029282,0.006294949,0.00002144696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1453504,0.0001090821,0.7978704,0.0001732108,0.00003022701,0.0003780658,0.007256839,0.03568019,0.01315172],"genre_scores_gemma":[0.3640286,0.0001509781,0.6241294,0.00002122837,0.000007242329,0.0004504783,0.006942373,0.000970258,0.003299417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01911857,"threshold_uncertainty_score":0.03801459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752002308076913,"score_gpt":0.2184439076562563,"score_spread":0.1909238845754872,"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."}}