{"id":"W2602149723","doi":"10.20956/geocelebes.v1i1.1774","title":"MIKROZONASI KAWASAN RAWAN BENCANA GEMPABUMI DENGAN STUDI PEAK GROUND ACCELERATION MENGGUNAKAN METODE BOORE ATKINSON DAN DATA MIKROTREMOR DI DAERAH KUPANG","year":2017,"lang":"id","type":"article","venue":"JURNAL GEOCELEBES","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geology; Forestry; Geography; Seismology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001127795,0.001060878,0.001354128,0.0001490181,0.006275799,0.002237524,0.004015665,0.0003823694,0.0008651198],"category_scores_gemma":[0.0007275757,0.0007998304,0.00037085,0.0003186121,0.001035449,0.002361185,0.00129211,0.001230319,0.001077782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844575,"about_ca_system_score_gemma":0.0001983242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03388558,"about_ca_topic_score_gemma":0.05396495,"domain_scores_codex":[0.9933676,0.0004742002,0.001067206,0.001891222,0.001433217,0.001766516],"domain_scores_gemma":[0.9950788,0.0004988936,0.0009703305,0.002340714,0.0002925124,0.0008187408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003798784,0.000696552,0.8295502,0.0002612651,0.0009536548,0.0004777031,0.001496875,0.0001360065,0.000414544,0.0002642123,0.01258112,0.152788],"study_design_scores_gemma":[0.00100879,0.0007819274,0.8779055,0.000145109,0.0004017504,0.00003866193,0.001400077,0.002664393,0.0002581963,0.0006054007,0.1138291,0.0009611031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972109,0.006231192,0.00001658548,0.007177095,0.001717351,0.0007855964,0.0007253362,0.0001085955,0.01112927],"genre_scores_gemma":[0.9849814,0.002049509,0.000230368,0.0005522738,0.003180666,0.00001156568,0.001427507,0.00002998885,0.00753678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518269,"threshold_uncertainty_score":0.9997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08826908207989216,"score_gpt":0.2881970604559183,"score_spread":0.1999279783760261,"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."}}