{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002938226,0.0003305491,0.000365239,0.0003610289,0.0001474656,0.00005696799,0.0003787145,0.0004194689,0.0000793374],"category_scores_gemma":[0.001272721,0.0003421229,0.00004164429,0.0004283521,0.0003149845,0.000111916,0.0001566174,0.0006992622,0.00005559082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091078,"about_ca_system_score_gemma":0.00002924585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008472062,"about_ca_topic_score_gemma":0.00005543807,"domain_scores_codex":[0.9984639,0.00003005543,0.0003475082,0.0004180212,0.0001808898,0.000559601],"domain_scores_gemma":[0.9989316,0.0001921612,0.00006430199,0.0005862938,0.0001453578,0.00008025316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003066211,0.0001948612,0.06080245,0.001174214,0.0003843676,0.00002742215,0.0006021501,0.005015826,0.1391474,0.08652222,0.001515658,0.7045828],"study_design_scores_gemma":[0.002918069,0.0005520521,0.01403633,0.0009468485,0.0003778726,0.0002899383,0.0007973621,0.7935153,0.1084668,0.06595273,0.009849875,0.002296743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6111302,0.0006756779,0.3795974,0.002119757,0.0004695474,0.0003548529,0.00001103234,0.004757498,0.0008839793],"genre_scores_gemma":[0.9965669,0.0002067871,0.002866754,0.00002716795,0.00005001389,0.00009378883,0.00001577965,0.00005425355,0.0001185734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884995,"threshold_uncertainty_score":0.9999031,"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."}}