{"id":"W4412136463","doi":"10.12962/j2716179x.v20ii.5133","title":"Pemetaan Kerentanan Tanah Longsor berbasis Machine Learning","year":2025,"lang":"id","type":"article","venue":"Jurnal Penataan Ruang","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Environmental science","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":[0.0006119292,0.0004671349,0.0004630641,0.0002449664,0.0006959788,0.0003420146,0.0007993526,0.0001336623,0.008605044],"category_scores_gemma":[0.00005968105,0.0004018456,0.0002966638,0.0006305884,0.0001891786,0.0004097481,0.001000839,0.0007407407,0.002278599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190107,"about_ca_system_score_gemma":0.00003245477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002850284,"about_ca_topic_score_gemma":0.0014584,"domain_scores_codex":[0.9969149,0.0002225872,0.0005953196,0.0007670229,0.0006572087,0.0008429115],"domain_scores_gemma":[0.9989051,0.00005747136,0.0002114909,0.0005130123,0.0000184683,0.0002944237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004612406,0.001341326,0.5430341,0.0008581165,0.001282398,0.001106244,0.002381473,0.00163602,0.006888408,0.002535449,0.1924262,0.246049],"study_design_scores_gemma":[0.00148004,0.0002134742,0.290702,0.0002561877,0.0005462125,0.00002129986,0.0005892509,0.00277704,0.002453114,0.0002935524,0.6999918,0.0006759822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440389,0.00585507,0.001928995,0.008906566,0.00283395,0.001291784,0.0001139582,0.000243478,0.4347873],"genre_scores_gemma":[0.812382,0.0005826848,0.0002431472,0.0007969998,0.0001267528,0.00001617109,0.00005721423,0.00003293241,0.185762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5075656,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00765891150288632,"score_gpt":0.2236268355271562,"score_spread":0.2159679240242698,"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."}}