{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003549551,0.0004530132,0.0004166269,0.0007671692,0.0007473248,0.001689323,0.0003826839,0.0004657976,0.008225441],"category_scores_gemma":[0.0005299569,0.0002764977,0.0003961044,0.001317685,0.0002687282,0.0009055039,0.0006298132,0.0004725345,0.001882303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035253,"about_ca_system_score_gemma":0.0009327146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736203,"about_ca_topic_score_gemma":0.0789954,"domain_scores_codex":[0.9995465,0.00003837776,0.00002044896,0.0001217705,0.0001961291,0.00007669431],"domain_scores_gemma":[0.9995492,0.00007626529,0.00005495913,0.00003435852,0.0002424554,0.00004276239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001671161,0.0005008734,0.635534,0.001134005,0.0003250756,0.00148132,0.007906892,0.003948307,0.1171245,0.00271875,0.006376494,0.2212787],"study_design_scores_gemma":[0.00002022679,0.0004608603,0.9162014,0.0001293302,0.0001919716,0.000355645,0.01474845,0.002735096,0.02949723,0.0009353937,0.03467329,0.00005109524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978045,0.0008732121,0.002340599,0.0001629897,0.00003146735,0.0000671372,0.001518158,0.00007320511,0.01688824],"genre_scores_gemma":[0.9793956,0.0007321142,0.001966093,0.00006739476,0.0000120849,0.00005684156,0.001262671,0.00005097961,0.01645617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736203,"threshold_uncertainty_score":0.05440551,"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."}}