{"id":"W1987349890","doi":"10.4043/24602-ms","title":"Arctic and Sub-Arctic Pipeline Routing Evaluations Enabled by Spatial AHP","year":2014,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Arctic; Analytic hierarchy process; Bathymetry; Geospatial analysis; Operations research; Remote sensing; Geography; Engineering; Geology; Oceanography","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":[0.005525024,0.000735956,0.0005940311,0.002574583,0.0007106544,0.001643794,0.0006138082,0.0004999642,0.002389797],"category_scores_gemma":[0.00774811,0.0003459238,0.0008098242,0.001950678,0.0004892488,0.0008763704,0.001241766,0.0005727649,0.0001750195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805442,"about_ca_system_score_gemma":0.002351651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797107,"about_ca_topic_score_gemma":0.01739934,"domain_scores_codex":[0.9972078,0.001629352,0.000149991,0.0001887915,0.0006710254,0.0001529904],"domain_scores_gemma":[0.9941491,0.003736574,0.0003922033,0.0002723665,0.001323144,0.000126657],"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":[0.0001099622,0.00005033846,0.001783611,0.00009692153,0.00003256896,0.00009613738,0.0001961347,0.9656708,0.001273673,0.002226589,0.0003353106,0.02812803],"study_design_scores_gemma":[0.000006079294,0.00003308662,0.0003335282,0.00001148402,0.000007154146,0.000005926235,0.0001964906,0.9969777,0.0007396401,0.001380561,0.0003013162,0.000007110072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3951295,0.0001609768,0.5898119,0.000366598,0.00003328079,0.0006333037,0.0008372047,0.0007774457,0.01224975],"genre_scores_gemma":[0.8489568,0.00008067418,0.1496454,0.00001613433,0.00000606636,0.0001731432,0.0003263863,0.00003406447,0.0007614052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01797107,"threshold_uncertainty_score":0.03573292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007562249474407591,"score_gpt":0.2092078547307841,"score_spread":0.2016456052563765,"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."}}