{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357118,0.0005085063,0.0003822232,0.001682117,0.001570877,0.005065143,0.0005154415,0.0008273075,0.01994952],"category_scores_gemma":[0.003650781,0.0002598835,0.0003535967,0.003181437,0.0009274901,0.00379696,0.001915722,0.0009808564,0.005554827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667424,"about_ca_system_score_gemma":0.002509346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447141,"about_ca_topic_score_gemma":0.02241837,"domain_scores_codex":[0.9989499,0.0002333162,0.00007144812,0.0001642079,0.0004109133,0.0001701728],"domain_scores_gemma":[0.997519,0.0008870107,0.0001801264,0.0003332497,0.0009080914,0.0001724452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006964748,0.0003447153,0.1176094,0.002691506,0.0001805889,0.001783151,0.02864513,0.002811608,0.02830638,0.04509619,0.06954196,0.7022927],"study_design_scores_gemma":[0.00005686027,0.0003473377,0.1221268,0.0005167197,0.0002826066,0.001510396,0.04361864,0.004361471,0.01977136,0.01282539,0.7944447,0.0001376244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5587956,0.006447999,0.04636041,0.009973845,0.0008143071,0.0006660813,0.007585774,0.004258755,0.3650973],"genre_scores_gemma":[0.8737453,0.004774542,0.02557637,0.0009656841,0.0001775582,0.0002979817,0.005395024,0.0003831748,0.08868434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01994952,"threshold_uncertainty_score":0.06673783,"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."}}