{"id":"W6963030036","doi":"10.17603/ds2410m","title":"KAIST1, KAIST2 - KAIST Experiments, in PRJ-1843: LEAP-UCD-2017","year":2018,"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; Section (typography); Range (aeronautics); 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":["metaepi_narrow"],"category_scores_codex":[0.001018279,0.002096319,0.002207221,0.001223375,0.0004685656,0.0004268121,0.003234311,0.0008447258,0.0008380795],"category_scores_gemma":[0.0004367018,0.002266813,0.000509078,0.000990333,0.0007665154,0.0005200781,0.002300108,0.00213566,0.01786413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176892,"about_ca_system_score_gemma":0.0002779148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006178822,"about_ca_topic_score_gemma":0.0005837996,"domain_scores_codex":[0.9898568,0.0005596441,0.002275948,0.003038942,0.001492863,0.002775754],"domain_scores_gemma":[0.9930057,0.0002282554,0.001934926,0.003928002,0.0003655241,0.0005375721],"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":[0.000357693,0.001132659,0.0008866154,0.0003187066,0.0001706105,0.0004344075,0.0001261606,0.0001979989,0.0002477755,0.00001525346,0.9952763,0.0008358262],"study_design_scores_gemma":[0.004692352,0.0002746271,0.001839612,0.002129039,0.00006458769,0.0001321916,0.00003840752,0.0002749971,0.0004334155,0.00004413135,0.9879191,0.002157559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00706998,0.001180688,0.000099999,0.00003425832,0.004579381,0.00174607,0.9826659,0.0007460909,0.001877632],"genre_scores_gemma":[0.007309868,0.00008447829,0.002982112,0.0007155061,0.001862079,0.00005244862,0.9858027,0.0005514808,0.0006393853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01702605,"threshold_uncertainty_score":0.9991778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899158576829238,"score_gpt":0.3368144382028772,"score_spread":0.3078228524345848,"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."}}