{"id":"W4414488970","doi":"10.29303/darmadiksani.v5i2.8263","title":"Peta Tangguh: Pengetahuan Kapasitas Komunitas Desa Tandassura melalui Pemetaan Patisipasif Zona Resiko Banjir untuk Perencanaan Tata Lahan Adaptif","year":2025,"lang":"id","type":"article","venue":"Darma Diksani Jurnal Pengabdian Ilmu Pendidikan Sosial dan Humaniora","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"","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":[0.0007630301,0.0004145279,0.0002755616,0.000800904,0.0026519,0.005601597,0.0007458392,0.001065982,0.0245082],"category_scores_gemma":[0.00143245,0.0003054462,0.0003725199,0.001037515,0.001272744,0.004126586,0.002431978,0.001223807,0.003708641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015458,"about_ca_system_score_gemma":0.002471748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348864,"about_ca_topic_score_gemma":0.02187184,"domain_scores_codex":[0.9993363,0.0001363897,0.00002461656,0.0001247576,0.0002446736,0.0001331501],"domain_scores_gemma":[0.9991446,0.000209396,0.00007162162,0.0001298976,0.0002663831,0.0001782717],"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":[0.0009410384,0.000405925,0.04529172,0.001880417,0.0002056669,0.004686956,0.06186586,0.003342357,0.06174644,0.1122982,0.05082458,0.6565108],"study_design_scores_gemma":[0.0000387627,0.0004623884,0.04458906,0.0006789466,0.0002412757,0.002229401,0.06449134,0.005701236,0.01913419,0.02862794,0.8336247,0.0001807899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3995338,0.0110998,0.0275218,0.01513122,0.001034259,0.0003367481,0.0006693984,0.002023264,0.5426497],"genre_scores_gemma":[0.8470551,0.003811599,0.01062149,0.0010861,0.0001193227,0.0001072878,0.0004385732,0.000285912,0.1364745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0245082,"threshold_uncertainty_score":0.0819881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532716744701529,"score_gpt":0.2504732851414583,"score_spread":0.235146117694443,"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."}}