{"id":"W6925203580","doi":"10.17603/ds2hx3h","title":"LEAP-2018 - Stress-strain response of Ottawa F65 sand in Cyclic Simple Shear","year":2018,"lang":"en","type":"dataset","venue":"Texas Advanced Computing Center","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Simple shear; Monotonic function; Shear (geology); Computer simulation; Simple (philosophy); Numerical models","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006319655,0.001480325,0.000801962,0.002260932,0.0006078532,0.001147982,0.00218254,0.001489651,0.009544823],"category_scores_gemma":[0.0021819,0.0004379932,0.0009430436,0.003201474,0.0004671599,0.0009058145,0.0009860102,0.0008566484,0.01635558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377152,"about_ca_system_score_gemma":0.00268518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.204105,"about_ca_topic_score_gemma":0.4057667,"domain_scores_codex":[0.9995207,0.00004451346,0.00004012101,0.0001331465,0.0001670875,0.00009444074],"domain_scores_gemma":[0.9985689,0.0001547187,0.0001665276,0.0003557508,0.000632435,0.000121663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003653136,0.0001458543,0.03158591,0.001276769,0.0001732527,0.0001667956,0.0001641028,0.008448041,0.001400011,0.001185041,0.9436231,0.01146578],"study_design_scores_gemma":[0.0002190834,0.00005724482,0.08640037,0.0003954842,0.00008305403,0.000125242,0.000485077,0.005443647,0.002604297,0.001386468,0.9026909,0.0001091546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002671327,0.00007514253,0.0001444137,0.00004799743,0.00001818352,0.00000922875,0.995572,0.0005150608,0.0009465962],"genre_scores_gemma":[0.004247294,0.00006048631,0.0004286067,0.00001873312,0.000004772594,0.00004380667,0.9941637,0.00005637712,0.0009761009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.795895,"threshold_uncertainty_score":0.4058341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068317328108945,"score_gpt":0.2745804864559864,"score_spread":0.253897313174897,"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."}}