{"id":"W2491724522","doi":"10.29244/jitl.15.1.12-19","title":"PENENTUAN INDEKS BAHAYA KEKERINGAN AGRO-HIDROLOGI: STUDI KASUS WILAYAH SUNGAI KARIANGO SULAWESI SELATAN","year":2013,"lang":"id","type":"article","venue":"Jurnal Ilmu Tanah dan Lingkungan","topic":"Water and Land Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001124413,0.001166843,0.001028055,0.0002952786,0.001181284,0.000994437,0.001849614,0.0005104306,0.001212877],"category_scores_gemma":[0.000116959,0.001018506,0.0005067508,0.0008206711,0.0006041921,0.001220478,0.00157122,0.001449023,0.003286793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007335152,"about_ca_system_score_gemma":0.00008360262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252813,"about_ca_topic_score_gemma":0.001071148,"domain_scores_codex":[0.9927537,0.0004870382,0.001379365,0.00168319,0.001514075,0.002182618],"domain_scores_gemma":[0.9964488,0.0001564045,0.0006428249,0.00144033,0.00009510879,0.00121655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004902852,0.004547112,0.662683,0.0006518609,0.003267423,0.002351622,0.01294201,0.003580538,0.174246,0.004198954,0.08779616,0.04324506],"study_design_scores_gemma":[0.003121457,0.001416495,0.7891397,0.0002664659,0.0007390587,0.0001375279,0.002261219,0.001789815,0.01327029,0.000780577,0.1846261,0.002451329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752823,0.0006939272,0.0001428934,0.002477271,0.002077694,0.001685905,0.00004294632,0.0002645272,0.01733256],"genre_scores_gemma":[0.9855827,0.0005366872,0.0003875611,0.001681563,0.0009529797,0.0001035696,0.00008130243,0.000156846,0.01051677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1609757,"threshold_uncertainty_score":0.9997001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045976605102787,"score_gpt":0.2070210327289534,"score_spread":0.1965612666779256,"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."}}