{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009615934,0.00101329,0.000964685,0.0009362123,0.0009324423,0.002683805,0.0009264717,0.0009896678,0.009883466],"category_scores_gemma":[0.001798646,0.0003268762,0.0007324615,0.001392348,0.0004167461,0.002189928,0.0009976313,0.001222095,0.005045089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009933993,"about_ca_system_score_gemma":0.00141371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008574023,"about_ca_topic_score_gemma":0.01544085,"domain_scores_codex":[0.9993575,0.0001092619,0.00003709989,0.0001735183,0.0002205193,0.0001020847],"domain_scores_gemma":[0.9990232,0.0002736753,0.00009449832,0.00009352047,0.0004284389,0.00008670008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004889956,0.0005269781,0.03501942,0.001383144,0.0003545436,0.0005983697,0.0006727301,0.02382686,0.01585113,0.009788796,0.04626974,0.8652192],"study_design_scores_gemma":[0.0001713884,0.001091913,0.1391579,0.001246395,0.001031071,0.001383801,0.00456118,0.2858362,0.04470748,0.03715622,0.4833158,0.0003405781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4216093,0.04160841,0.3129574,0.01338249,0.002576679,0.0006831496,0.006053643,0.007119213,0.1940097],"genre_scores_gemma":[0.7938458,0.01568554,0.08065502,0.00110246,0.0005391981,0.0002986782,0.005239934,0.0004435555,0.1021898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009883466,"threshold_uncertainty_score":0.03306347,"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."}}