{"id":"W4367154856","doi":"10.36487/acg_repo/2355_16","title":"Backfilling in the permafrost: predicting pressure loss and temperature distribution along the paste backfill pipeline system","year":2023,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Banff Centre; Université du Québec en Abitibi-Témiscamingue; Geomechanica (Canada); Agnico Eagle (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Pipeline (software); Geotechnical engineering; Geology; Materials science; Petroleum engineering; Environmental science; Engineering; Mechanical engineering","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":[0.0001225993,0.0004500892,0.0003662884,0.0003141836,0.0003287466,0.0004634442,0.0004618996,0.0008995432,0.0007486488],"category_scores_gemma":[0.0003626005,0.0002636216,0.0004456874,0.0002758224,0.0003439555,0.0003642165,0.0002197121,0.0003215288,0.0001610929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704414,"about_ca_system_score_gemma":0.0006683987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714879,"about_ca_topic_score_gemma":0.01685587,"domain_scores_codex":[0.999934,0.000009149968,0.000003231127,0.00002039942,0.00001686709,0.00001633418],"domain_scores_gemma":[0.9998459,0.00007544942,0.00002270113,0.00001094122,0.00002629121,0.00001874631],"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":[0.0001807451,0.0001916365,0.02381197,0.00005477626,0.00001570771,0.0002891236,0.0001295056,0.942283,0.02581983,0.0001532488,0.0001892592,0.006881356],"study_design_scores_gemma":[0.00001313231,0.00006530552,0.006603847,0.000002479799,0.000005007231,0.0000184148,0.00005787669,0.9892763,0.003808527,0.00004175879,0.0001010196,0.000006367246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963109,0.0000182497,0.002868507,0.00001906551,0.000002400549,0.00001371185,0.0001903041,0.0001168722,0.0004599642],"genre_scores_gemma":[0.9981833,0.00001634956,0.001342173,0.000002614662,6.395284e-7,0.000009630862,0.0001533856,0.00001043836,0.0002815938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714879,"threshold_uncertainty_score":0.05398154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004941869000671479,"score_gpt":0.1841684406528682,"score_spread":0.1792265716521968,"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."}}