{"id":"W3120422917","doi":"10.31849/teknik.v14i2.5041","title":"Aplikasi Sistem Informasi Geografis (SIG) untuk Prediksi Erosi Lahan dengan Metode MUSLE","year":2020,"lang":"id","type":"article","venue":"JURNAL TEKNIK","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; 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":[],"category_scores_codex":[0.001092103,0.000770715,0.001002179,0.0003832426,0.0006554944,0.0008247476,0.003541417,0.0007407864,0.00005264459],"category_scores_gemma":[0.0006269888,0.0007695876,0.0005101298,0.001989626,0.0003716072,0.001624656,0.001422983,0.00161631,0.001606207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215332,"about_ca_system_score_gemma":0.0005989529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003166757,"about_ca_topic_score_gemma":0.00005878638,"domain_scores_codex":[0.9939325,0.0003276558,0.001626663,0.001219813,0.001661715,0.001231619],"domain_scores_gemma":[0.9960136,0.0003766081,0.00096199,0.001292017,0.0005173743,0.0008383488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006535464,0.0027485,0.09159434,0.004619241,0.005536011,0.002612489,0.05720984,0.003439846,0.08813988,0.3808052,0.1799569,0.1826842],"study_design_scores_gemma":[0.00253469,0.001656648,0.01159312,0.0006486282,0.000278639,0.0005264728,0.001340924,0.06248537,0.03712914,0.000917463,0.8789578,0.001931089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4885549,0.01894027,0.2275365,0.1469428,0.01836482,0.008071885,0.0002608538,0.009439782,0.08188825],"genre_scores_gemma":[0.9786087,0.0002424801,0.006960911,0.005448406,0.00159107,0.0001094231,0.00003728064,0.0001021564,0.006899532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990009,"threshold_uncertainty_score":0.9994755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321706814662169,"score_gpt":0.2424928226161201,"score_spread":0.2103221411499032,"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."}}