{"id":"W4250963378","doi":"10.31227/osf.io/pc9fv","title":"HIDROSTRATIGRAFI DAN DAMPAKNYA PADA KEMUNCULAN MATAAIR DI SUB-SISTEM PANGGANG, KAWASAN KARST GUNUNGSEWU, KABUPATEN GUNUNGKIDUL","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Karst; Geology; Graben; Geomorphology; Forestry; Geography; Paleontology; Structural basin","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":[0.0007668526,0.002056203,0.002413044,0.00018858,0.001563682,0.0008528733,0.002486885,0.001237159,0.006925218],"category_scores_gemma":[0.0002026206,0.001420533,0.001160423,0.0007981349,0.001848181,0.0003965333,0.001350033,0.001730696,0.01519889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004894743,"about_ca_system_score_gemma":0.0002211745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01766961,"about_ca_topic_score_gemma":0.02574218,"domain_scores_codex":[0.9903129,0.0006506753,0.001803121,0.003007103,0.001641065,0.00258515],"domain_scores_gemma":[0.994973,0.0006328013,0.0008462921,0.00182882,0.0004341787,0.001284907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002920506,0.0006297137,0.9592469,0.0008509774,0.0009989162,0.0003974728,0.0009373513,0.0003267766,0.0002036249,0.0007992728,0.01319653,0.02212043],"study_design_scores_gemma":[0.0006841335,0.001340202,0.935489,0.0003379915,0.0003578503,0.00004521252,0.0007858148,0.001842531,0.0007269137,0.003789198,0.05242019,0.002180972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809012,0.00296256,0.00006511393,0.00256323,0.002980853,0.001527744,0.0009251007,0.0005801067,0.1074941],"genre_scores_gemma":[0.9672469,0.001487658,0.0004262416,0.0008107244,0.001873683,0.00005368428,0.003348253,0.00004327622,0.02470955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08634574,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614061589016458,"score_gpt":0.2155713301936462,"score_spread":0.1894307143034816,"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."}}