{"id":"W3204091503","doi":"10.32534/jsfk.v14i01.1521","title":"RADIO SEBAGAI MEDIA KOMUNIKASI LINGKUNGAN DAN MITIGASI BENCANA BANJIR DI KOTA SAMARINDA","year":2020,"lang":"id","type":"article","venue":"SOSFILKOM Jurnal Sosial Filsafat dan Komunikasi","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; Art","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":[0.002249576,0.0005450098,0.0003546094,0.001192211,0.002114146,0.004196605,0.0008278101,0.0009677007,0.05465809],"category_scores_gemma":[0.003865642,0.00031906,0.0003364813,0.001339286,0.0007339924,0.001802724,0.002033147,0.001408054,0.01155352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523428,"about_ca_system_score_gemma":0.004967401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065265,"about_ca_topic_score_gemma":0.05378934,"domain_scores_codex":[0.9982296,0.0004640058,0.00007770341,0.0002364552,0.0006459267,0.0003464105],"domain_scores_gemma":[0.9966595,0.0009835422,0.0003388427,0.0002426586,0.001272782,0.0005025754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001067407,0.001011471,0.1136396,0.003139165,0.0001407185,0.000808712,0.01643337,0.001075663,0.02296414,0.01442271,0.1396436,0.6856535],"study_design_scores_gemma":[0.00008799235,0.0009108676,0.1799592,0.001008904,0.0002102521,0.0003430512,0.03178275,0.001341253,0.01388892,0.00259726,0.7677488,0.0001207587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2925517,0.004991022,0.01335161,0.01735057,0.001665093,0.00170729,0.007836135,0.001568202,0.6589784],"genre_scores_gemma":[0.6149004,0.005704263,0.01710963,0.004435279,0.0006220094,0.001985313,0.003735507,0.0004619964,0.3510456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05465809,"threshold_uncertainty_score":0.1828495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349902128384234,"score_gpt":0.2522067122383979,"score_spread":0.2287076909545555,"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."}}