{"id":"W2603865847","doi":"","title":"Elastic Anisotropy in Linepipe Materials","year":2016,"lang":"en","type":"article","venue":"The 26th International Ocean and Polar Engineering Conference","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Anisotropy; Materials science; Physics; Optics","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":[0.0001753006,0.0002439433,0.0002400427,0.0008359482,0.0004581118,0.001186318,0.000415878,0.0006116055,0.00705585],"category_scores_gemma":[0.0006819304,0.0003571734,0.000141615,0.0003756092,0.0007191251,0.0008351356,0.0005226374,0.000496812,0.0006499447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252609,"about_ca_system_score_gemma":0.0001569388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000615713,"about_ca_topic_score_gemma":0.001092898,"domain_scores_codex":[0.9998862,0.0000206283,0.000003416459,0.00002607105,0.00003682938,0.00002687878],"domain_scores_gemma":[0.9998242,0.00006118928,0.00003283295,0.0000260425,0.0000350376,0.00002077719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007539667,0.0003550205,0.004516567,0.0005059157,0.00006522807,0.001494096,0.0005302507,0.1274963,0.2024961,0.5917104,0.008272034,0.06180403],"study_design_scores_gemma":[0.0001201975,0.0002565825,0.0210398,0.0001228064,0.00004232992,0.001725686,0.0008108548,0.7227823,0.07682084,0.1408628,0.03527297,0.0001428819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7870504,0.003151058,0.04899138,0.001473525,0.0003077547,0.00005828826,0.000250895,0.0003599566,0.1583567],"genre_scores_gemma":[0.9762452,0.0003611585,0.002598207,0.00006764405,0.00004083824,0.00002241653,0.00008838406,0.00005927892,0.02051687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00705585,"threshold_uncertainty_score":0.02360415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055575826863285,"score_gpt":0.1909355913122155,"score_spread":0.1828800154853522,"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."}}