{"id":"W1637021372","doi":"10.31227/osf.io/6nzka","title":"PEMANFATAN SISTEM INFORMASI GEOGRAFIS (SIG) UNTUK PEMETAAN IMBUHAN AIRTANAH DAN KERENTANAN AIRTANAH DI KAWASAN KARST (STUDI KASUS DI KECAMATAN PALIYAN DAN KECAMATAN SAPTOSARI, KABUPATEN GUNUNGKIDUL)","year":2017,"lang":"id","type":"article","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":"Physics; Forestry; Geography","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","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001333057,0.002910935,0.003627964,0.0004081937,0.009350141,0.003180745,0.005733192,0.0009869176,0.003284806],"category_scores_gemma":[0.0006831935,0.002165712,0.001682183,0.001064821,0.003372062,0.002428274,0.002188979,0.001888945,0.003613921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580477,"about_ca_system_score_gemma":0.0002678243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01926412,"about_ca_topic_score_gemma":0.09082261,"domain_scores_codex":[0.9856504,0.0006391911,0.003028094,0.003216964,0.002774646,0.004690717],"domain_scores_gemma":[0.9896291,0.0007304499,0.002151068,0.004180469,0.0005888465,0.002720016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003721887,0.0006732703,0.959147,0.0005262707,0.001488167,0.0004620907,0.00114469,0.0001015501,0.00005072349,0.004296776,0.002053713,0.02968357],"study_design_scores_gemma":[0.002374848,0.002297223,0.8931805,0.0003498857,0.0009912788,0.00005165123,0.005719776,0.001753153,0.0002162662,0.000719621,0.08946176,0.002884031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7888212,0.004264657,0.0000424985,0.006617029,0.003017986,0.002218405,0.0008460441,0.0006863247,0.1934858],"genre_scores_gemma":[0.9701532,0.002536621,0.0001420506,0.0009004045,0.001230447,0.00005870744,0.001815373,0.00009238394,0.02307084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1813319,"threshold_uncertainty_score":0.9996462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243009974515165,"score_gpt":0.2310639193477615,"score_spread":0.206762921896245,"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."}}