{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001710148,0.001928681,0.001995254,0.0005861245,0.003151869,0.002748176,0.007091848,0.0009410363,0.0002817217],"category_scores_gemma":[0.00200236,0.002067486,0.001060826,0.003359164,0.001035139,0.001731949,0.003282796,0.005099225,0.001051347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374783,"about_ca_system_score_gemma":0.001501894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183878,"about_ca_topic_score_gemma":0.0005480969,"domain_scores_codex":[0.9878916,0.001558994,0.002404866,0.003216015,0.002120967,0.00280752],"domain_scores_gemma":[0.989579,0.001460003,0.001428939,0.003651006,0.0006247644,0.003256272],"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":[0.0006644194,0.002147566,0.01814295,0.0009449814,0.002357929,0.01008312,0.07831351,0.001862246,0.01294407,0.05897288,0.1313184,0.6822479],"study_design_scores_gemma":[0.005113774,0.001931862,0.01549277,0.0009622205,0.001168641,0.00515073,0.00508539,0.07775905,0.004776142,0.0005814161,0.8769454,0.005032654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218462,0.005813188,0.04679833,0.07907503,0.009836501,0.003947622,0.002666598,0.004028403,0.02598805],"genre_scores_gemma":[0.9571298,0.0008726367,0.02756512,0.004331336,0.006125366,0.0001278953,0.001562819,0.0004209692,0.001864098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7456269,"threshold_uncertainty_score":0.9997265,"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."}}