{"id":"W2612487588","doi":"10.23917/biomedika.v8i1.2901","title":"PERBEDAAN KEBERADAAN JENTIK AEDES AEGYPTI ANTARA BAK MANDI DI PERDESAAN DAN PERKOTAAN DI KECAMATAN WONOGIRI","year":2017,"lang":"id","type":"article","venue":"Biomedika","topic":"Dengue and Mosquito Control Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Aedes aegypti; Biology; Ecology","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":[0.0008765938,0.0003200562,0.000346551,0.0003371944,0.0007076218,0.001056319,0.0002956641,0.0003510118,0.02402463],"category_scores_gemma":[0.001430685,0.0002379218,0.0003803937,0.0003898372,0.0003799356,0.0008008818,0.001113102,0.0008711104,0.002715253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009854345,"about_ca_system_score_gemma":0.001356196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009202594,"about_ca_topic_score_gemma":0.02181673,"domain_scores_codex":[0.9992354,0.0001802965,0.00005606816,0.0001451698,0.0002273647,0.0001556634],"domain_scores_gemma":[0.9988375,0.0003448555,0.0002808957,0.00008358168,0.0002629303,0.0001902077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002439704,0.001137166,0.6259542,0.001711067,0.0004386051,0.0009083936,0.004147158,0.0007772712,0.05456762,0.002712677,0.02863964,0.2765664],"study_design_scores_gemma":[0.00008531855,0.00177554,0.8753029,0.000317993,0.0003327022,0.00156667,0.009797852,0.0008544134,0.01956646,0.0009177185,0.08943412,0.00004835822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138736,0.005243456,0.003832962,0.003643462,0.0005540029,0.0003241642,0.003325983,0.0002211419,0.06898137],"genre_scores_gemma":[0.9384394,0.003058773,0.003220705,0.0008239483,0.00009245335,0.0002655972,0.001778423,0.00003503963,0.05228564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402463,"threshold_uncertainty_score":0.08037043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943043350775458,"score_gpt":0.3672046781011423,"score_spread":0.3177742445933877,"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."}}