{"id":"W2573226053","doi":"10.1115/ipc2016-64285","title":"Re-Introducing the Benefits of Terrain Mapping for Pipeline Routing and Design","year":2016,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Geohazard; Terrain; Pipeline (software); Remote sensing; Scale (ratio); Geologic map; Routing (electronic design automation); Geology; Computer science; Landslide; Cartography; Geography; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003728628,0.001845877,0.0005860907,0.002597526,0.001057452,0.004966014,0.002919931,0.002253233,0.01119814],"category_scores_gemma":[0.01267207,0.0009174909,0.001174621,0.002370341,0.002361491,0.006133751,0.002516459,0.005289878,0.004113358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187623,"about_ca_system_score_gemma":0.001881048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008482276,"about_ca_topic_score_gemma":0.01217743,"domain_scores_codex":[0.9960556,0.0008985777,0.0001862173,0.000371416,0.002378133,0.00011014],"domain_scores_gemma":[0.9887727,0.003505456,0.0005104124,0.002873952,0.003979619,0.0003578488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007508254,0.00009552536,0.003288305,0.001137727,0.00006727756,0.0003577358,0.001079939,0.06568275,0.008001189,0.1299586,0.03413377,0.7561221],"study_design_scores_gemma":[0.00002305156,0.0002212299,0.002568164,0.0006506693,0.00007125179,0.000989379,0.000626702,0.06561492,0.005294475,0.0615127,0.8623049,0.0001225786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008022005,0.006984371,0.9165085,0.009460962,0.002068526,0.0002047501,0.0004785546,0.002126811,0.05414549],"genre_scores_gemma":[0.117283,0.009333978,0.8527649,0.00147788,0.0007906059,0.0001214376,0.0004161491,0.001303292,0.01650868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01119814,"threshold_uncertainty_score":0.03746146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07659823062941441,"score_gpt":0.2487613672992534,"score_spread":0.172163136669839,"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."}}