{"id":"W4254369440","doi":"10.31227/osf.io/hnqmt","title":"DEAGREGASI BENCANA GEMPA BANJARMASIN DAN PERBANDINGAN KURVA HAZARD DENGAN SUMBER GEMPA SESAR","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography; Physics; Forestry; Cartography","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009217001,0.001527235,0.001815124,0.0001650503,0.00169309,0.0006211765,0.001714921,0.0009273729,0.01416865],"category_scores_gemma":[0.0003885409,0.001071961,0.0008749767,0.0006384467,0.001629768,0.0003267206,0.001078306,0.001854086,0.01658992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004762561,"about_ca_system_score_gemma":0.0002195516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01386304,"about_ca_topic_score_gemma":0.03604004,"domain_scores_codex":[0.9922214,0.0006642066,0.001182784,0.002395538,0.001289602,0.002246474],"domain_scores_gemma":[0.9960268,0.0008222016,0.0004912883,0.00107352,0.0004006555,0.001185552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00017425,0.0003178823,0.9607795,0.0002748659,0.000621763,0.0002547585,0.00129912,0.0003555174,0.00001779902,0.0004796956,0.01754791,0.01787686],"study_design_scores_gemma":[0.0005589634,0.0008311607,0.8508457,0.0001776258,0.0003250774,0.00005174001,0.001289732,0.001653412,0.0003370077,0.002097216,0.1401577,0.001674652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909314,0.001662141,0.00006971844,0.003316224,0.002833609,0.0008630565,0.0002329295,0.0002698699,0.08143844],"genre_scores_gemma":[0.9537695,0.001119827,0.0006650948,0.001471613,0.002274589,0.00001463503,0.0006774954,0.00002955457,0.03997769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1226098,"threshold_uncertainty_score":0.9997476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092820337401724,"score_gpt":0.2330988477440611,"score_spread":0.2021706443700439,"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."}}