{"id":"W2902110046","doi":"10.25077/jmu.6.1.9-16.2017","title":"PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI KEJADIAN DBD (DEMAM BERDARAH DENGUE) MENGGUNAKAN REGRESI LOGISTIK BINER UNTUK WILAYAH REGIONAL 2 INDONESIA (SUMATERA)","year":2017,"lang":"id","type":"article","venue":"Jurnal Matematika UNAND","topic":"Dengue and Mosquito Control Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004858657,0.001165513,0.001862946,0.0006354291,0.006707767,0.004521322,0.003784915,0.001059397,0.0009043667],"category_scores_gemma":[0.001285018,0.001006808,0.0007636491,0.0004526752,0.002058146,0.002078158,0.0007792973,0.001626961,0.001656515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006196967,"about_ca_system_score_gemma":0.00155683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007438887,"about_ca_topic_score_gemma":0.007456546,"domain_scores_codex":[0.988987,0.001545096,0.001782401,0.0015542,0.003443139,0.002688204],"domain_scores_gemma":[0.9925457,0.0006635941,0.001873932,0.00229486,0.0009462999,0.001675587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00410194,0.003566475,0.3697919,0.01129577,0.006210872,0.008937248,0.06798106,0.0003001386,0.02068272,0.1893906,0.2916061,0.02613518],"study_design_scores_gemma":[0.01806969,0.00159114,0.5543649,0.00757126,0.001677101,0.0005796247,0.01232001,0.002382553,0.002296347,0.01274384,0.379293,0.007110491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156802,0.004692021,0.0001206316,0.01482956,0.004109201,0.002582124,0.0001724096,0.0002411444,0.05757277],"genre_scores_gemma":[0.9578525,0.002483784,0.0001069228,0.0004936456,0.003315149,0.0001411079,0.00005684605,0.0001761836,0.03537384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845731,"threshold_uncertainty_score":0.9992383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06440984805348496,"score_gpt":0.3571546865201155,"score_spread":0.2927448384666306,"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."}}