{"id":"W6962657177","doi":"10.17603/ds2-ew3k-6f21","title":"IFSTTAR-A1, IFSTTAR-A2, IFSTTAR-A3 - IFSTTAR Experiments","year":2021,"lang":"en","type":"dataset","venue":"Texas Advanced Computing Center","topic":"","field":"","cited_by":0,"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":[0.007159551,0.001999155,0.001905044,0.004357025,0.001718653,0.002928762,0.00372384,0.001765347,0.07324405],"category_scores_gemma":[0.01345341,0.000921882,0.001849252,0.004782255,0.0008292189,0.003308722,0.00315547,0.00186588,0.06659453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334838,"about_ca_system_score_gemma":0.004122684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009704099,"about_ca_topic_score_gemma":0.01116814,"domain_scores_codex":[0.9938505,0.0005945079,0.0004987221,0.0007185675,0.003870404,0.0004673962],"domain_scores_gemma":[0.975854,0.002782982,0.001016692,0.00941737,0.009690782,0.001238086],"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":[0.002955541,0.001130606,0.009123716,0.001973679,0.0002318139,0.000390977,0.0002001328,0.01394948,0.01289086,0.005739967,0.8583263,0.09308692],"study_design_scores_gemma":[0.0005689568,0.0009222865,0.01919872,0.0003530507,0.0001691788,0.0005202289,0.0003991797,0.0156324,0.04934536,0.00643474,0.9061415,0.000314495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03000472,0.0007747878,0.03488763,0.0006799594,0.001413234,0.001458335,0.7555459,0.05296267,0.1222728],"genre_scores_gemma":[0.03728484,0.0005158099,0.03697223,0.00029208,0.0001416289,0.002255366,0.8848527,0.01206348,0.02562189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07324405,"threshold_uncertainty_score":0.2450258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192870904252654,"score_gpt":0.3145772079574232,"score_spread":0.2926484989148966,"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."}}