{"id":"W2333410646","doi":"10.14710/tataloka.15.4.293-305","title":"MODEL KESESUAIAN LAHAN BERBASIS KERAWANAN BENCANA ALAM, UJI COBA: KOTA SEMARANG","year":2013,"lang":"en","type":"article","venue":"Jurnal Tataloka","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Font; Geography; Computer science; Artificial intelligence","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":[0.0002433535,0.0007152546,0.0004318682,0.0007141032,0.0005868806,0.001833294,0.00128073,0.0006958711,0.02908097],"category_scores_gemma":[0.0008813496,0.0003334491,0.0006948347,0.001468677,0.0003562795,0.000945984,0.0005687401,0.0005392981,0.005419421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339439,"about_ca_system_score_gemma":0.002462893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1603518,"about_ca_topic_score_gemma":0.150046,"domain_scores_codex":[0.9998198,0.00004938753,0.000009036688,0.00004881057,0.00003671129,0.00003628214],"domain_scores_gemma":[0.9996874,0.00007855889,0.00001967356,0.00001915488,0.0001732222,0.00002198039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001157524,0.00007551473,0.01653552,0.0001417478,0.00003464432,0.0003984932,0.0001870534,0.9298754,0.0006724903,0.02061987,0.01148153,0.01986195],"study_design_scores_gemma":[0.00003691173,0.00004228691,0.004810833,0.000041824,0.0000412889,0.0002302704,0.0006538943,0.9582891,0.000588701,0.006117615,0.02911382,0.000033472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.469855,0.0008813472,0.1388657,0.003016,0.0003963665,0.0005563,0.04999965,0.002900101,0.3335296],"genre_scores_gemma":[0.8940787,0.000553908,0.02286706,0.00008359662,0.00001851508,0.0003730707,0.01281385,0.000234305,0.06897686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603518,"threshold_uncertainty_score":0.3188369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122159518359657,"score_gpt":0.2103520282137895,"score_spread":0.199130433030193,"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."}}