{"id":"W6906673897","doi":"10.17603/ds2-zad5-ry27","title":"KyU-A1, KyU-GS1, KyU-GS1a, KyU-A2, and KyU-GS2 - Kyoto University Experiments","year":2021,"lang":"en","type":"dataset","venue":"Texas Advanced Computing Center","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrifuge; Liquefaction; Ground motion; Range (aeronautics); Section (typography); Scaling","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":[0.00401016,0.001227959,0.0014365,0.002909145,0.0018873,0.00196173,0.001913032,0.001324211,0.04049682],"category_scores_gemma":[0.006654105,0.0007753168,0.001163833,0.003456632,0.0007630199,0.002735402,0.002726607,0.001423288,0.02714844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190373,"about_ca_system_score_gemma":0.003593958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006631016,"about_ca_topic_score_gemma":0.01168463,"domain_scores_codex":[0.9967101,0.0003043699,0.0003035192,0.0004248763,0.001999271,0.0002578618],"domain_scores_gemma":[0.9846653,0.001709606,0.0007757159,0.005270357,0.00647042,0.001108525],"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":[0.007322609,0.002278578,0.04719323,0.003869641,0.0004233006,0.0009563164,0.0006215433,0.0197123,0.0589867,0.008416777,0.5827014,0.2675176],"study_design_scores_gemma":[0.0006619281,0.002630096,0.08732834,0.000547524,0.0004136339,0.0008471395,0.001062812,0.01696721,0.139541,0.005736325,0.7436636,0.0006004215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2378306,0.002208254,0.03990535,0.001469897,0.002197132,0.002542463,0.5165389,0.02769781,0.1696096],"genre_scores_gemma":[0.2778614,0.002233554,0.0623707,0.000550436,0.0003102522,0.004968274,0.5830168,0.009173602,0.05951497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04049682,"threshold_uncertainty_score":0.1354754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606085604525454,"score_gpt":0.2759675646757987,"score_spread":0.2599067086305442,"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."}}