{"id":"W6887792539","doi":"10.17603/ds2-67tk-7281","title":"KAIST-A2 and KAIST-B - KAIST 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004107592,0.001514747,0.001596734,0.0004305466,0.000566246,0.0005049342,0.001210302,0.0005093245,0.0006453758],"category_scores_gemma":[0.000267059,0.001648199,0.0003368077,0.0005711078,0.0004088008,0.0002979558,0.002313002,0.001446622,0.003439762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287386,"about_ca_system_score_gemma":0.0001347755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001499595,"about_ca_topic_score_gemma":0.00009177832,"domain_scores_codex":[0.9932055,0.0003751242,0.001279979,0.002403578,0.001075544,0.001660313],"domain_scores_gemma":[0.995518,0.000262309,0.001034191,0.002335951,0.000307873,0.0005416205],"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":[0.0001193949,0.0005532267,0.0003748566,0.0003684423,0.0002689448,0.0004528036,0.00006862578,0.00009531894,0.000363861,0.00001378569,0.9953746,0.001946138],"study_design_scores_gemma":[0.003088715,0.0001162579,0.0006714807,0.001374037,0.0001293961,0.0002092225,0.00006855862,0.0001522462,0.0005165958,0.00002242741,0.9921121,0.001538963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003645932,0.003760138,0.0001360542,0.00004345347,0.002800935,0.000814376,0.9872609,0.000508304,0.001029911],"genre_scores_gemma":[0.003226673,0.0001825175,0.003677263,0.0007448827,0.0008845999,0.00002144568,0.9903713,0.0003899007,0.0005014465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00357762,"threshold_uncertainty_score":0.9997602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927278300306253,"score_gpt":0.3105359871064352,"score_spread":0.2912632041033727,"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."}}