{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535424,0.0006802466,0.0005850284,0.0008674085,0.001476819,0.002559502,0.0004959326,0.0007690877,0.01171341],"category_scores_gemma":[0.0002534462,0.000458628,0.0005495279,0.0008938897,0.0007486384,0.00102993,0.001355395,0.001032917,0.002692823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163936,"about_ca_system_score_gemma":0.001529054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207,"about_ca_topic_score_gemma":0.04958807,"domain_scores_codex":[0.9997825,0.00001772905,0.000009643062,0.0000781464,0.00005758243,0.00005437806],"domain_scores_gemma":[0.9997988,0.00002225391,0.00004149996,0.00001864722,0.00007564855,0.00004309913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000789965,0.0001651109,0.1075865,0.001468479,0.0002171666,0.002882587,0.004128112,0.001218745,0.7017193,0.006909026,0.005515016,0.1674],"study_design_scores_gemma":[0.0000458925,0.0005524234,0.5357656,0.0003596574,0.0003375969,0.002729399,0.007813556,0.00153707,0.1378558,0.003846874,0.3090332,0.0001228357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559718,0.01239439,0.01826655,0.001662898,0.0004291719,0.0002200986,0.00352706,0.001081009,0.106447],"genre_scores_gemma":[0.8883247,0.004910915,0.0105902,0.0005204701,0.00006157042,0.00008794837,0.001742206,0.0002245977,0.09353747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207,"threshold_uncertainty_score":0.04115903,"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."}}