{"id":"W3208050096","doi":"10.33005/envirotek.v13i2.121","title":"ANALISIS SPASIAL TITIK DAN JALUR EVAKUASI DALAM MITIGASI PENGURANGAN RISIKO BENCANA BANJIR DI KECAMATAN MANDONGA KOTA KENDARI","year":2021,"lang":"id","type":"article","venue":"JURNAL ENVIROTEK","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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":[0.001350038,0.0004721331,0.000436768,0.0009327289,0.0009005968,0.001550149,0.000598989,0.000477911,0.01240927],"category_scores_gemma":[0.002301598,0.0003337169,0.0008971586,0.001165415,0.0005121864,0.0009602248,0.000948958,0.0009830208,0.001597472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095399,"about_ca_system_score_gemma":0.00241165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04424014,"about_ca_topic_score_gemma":0.09529684,"domain_scores_codex":[0.9990548,0.0002094117,0.000086169,0.0002102331,0.0003158852,0.0001234835],"domain_scores_gemma":[0.9978551,0.0005611015,0.0004371059,0.0001363659,0.0008394627,0.0001707843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001241283,0.0003986182,0.7723111,0.003450811,0.0006950659,0.001094926,0.01265626,0.0008187403,0.03564019,0.00201435,0.01371036,0.1559683],"study_design_scores_gemma":[0.00002633706,0.0006574532,0.8846315,0.0006646768,0.0004814235,0.0007736257,0.01817555,0.0009852727,0.01471657,0.001191217,0.07761392,0.00008261759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430189,0.004748978,0.005626333,0.001739397,0.0001953036,0.0003917171,0.01061707,0.0002268108,0.03343547],"genre_scores_gemma":[0.9409599,0.002937922,0.009550962,0.0004055388,0.00003428614,0.0004380142,0.00465368,0.0001308772,0.04088873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04424014,"threshold_uncertainty_score":0.08796531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289365357443463,"score_gpt":0.2375487359694011,"score_spread":0.2246550823949665,"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."}}