{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388908,0.000113425,0.0001070409,0.0000708377,0.0000172143,0.00004778223,0.0001733856,0.00003891857,0.0002300559],"category_scores_gemma":[0.00005067953,0.00007056013,0.00001456028,0.00003667926,0.00002052553,0.0001374467,0.00003762119,0.0000590808,0.00002752192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002208747,"about_ca_system_score_gemma":0.000006869124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001264615,"about_ca_topic_score_gemma":0.000003327471,"domain_scores_codex":[0.9994957,0.000009741468,0.0001709542,0.00008953419,0.0000827257,0.000151374],"domain_scores_gemma":[0.999777,0.00005807012,0.00001669124,0.00009174214,0.00001890494,0.00003764503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005274297,0.00001601121,0.0006496186,0.0001019607,0.0001152162,0.00002238622,0.0004084705,0.003527426,0.7652988,0.2254345,0.000253208,0.004119666],"study_design_scores_gemma":[0.005145257,0.0002463465,0.05986813,0.002545456,0.0001165048,0.0003884014,0.0001107406,0.2463024,0.4580133,0.01261379,0.2118891,0.002760532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764165,0.00009859579,0.02100408,0.0002806905,0.001483377,0.00007115603,0.00005402654,0.0001363862,0.0004551767],"genre_scores_gemma":[0.9991298,0.0002074117,0.0002776443,0.00002131186,0.0001419289,0.00000265994,0.000006106458,0.00001588992,0.0001972456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3072855,"threshold_uncertainty_score":0.2877358,"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."}}