{"id":"W6943916693","doi":"10.17603/ds2-hfdm-bp53","title":"RPI-A and RPI-B - Rensselaer Polytechnic Institute 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; Section (typography); Range (aeronautics); Scaling; Test (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003224107,0.001233269,0.00126448,0.0005328481,0.0003508796,0.0002879171,0.001018674,0.0005415547,0.0002777352],"category_scores_gemma":[0.0001748295,0.001316665,0.0002557104,0.0006703891,0.0003941333,0.0004282334,0.002166722,0.001404483,0.0018598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005201966,"about_ca_system_score_gemma":0.0001670131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009289857,"about_ca_topic_score_gemma":0.00006356108,"domain_scores_codex":[0.9945499,0.0002122441,0.001048386,0.001981043,0.0008549363,0.001353524],"domain_scores_gemma":[0.9963726,0.0001001265,0.0008047011,0.002136252,0.0001971202,0.0003891419],"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":[0.00007605692,0.0003501827,0.0001229464,0.0002004574,0.0002135667,0.000370382,0.00003727187,0.0001361267,0.0009004062,0.00002158205,0.9950968,0.002474226],"study_design_scores_gemma":[0.002367042,0.00008732569,0.0003132513,0.001541529,0.0001116035,0.000262695,0.00002741642,0.0001014444,0.0008402541,0.00002816063,0.9930623,0.001256983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005752017,0.003502685,0.0003129786,0.00004650649,0.003045205,0.0008220691,0.9855416,0.0006385672,0.000338369],"genre_scores_gemma":[0.002517597,0.0003056382,0.005045053,0.000698337,0.0006325418,0.00001888428,0.990158,0.0002801316,0.000343766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004732074,"threshold_uncertainty_score":0.9989283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183707630451295,"score_gpt":0.3114868922008962,"score_spread":0.2896498158963833,"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."}}