{"id":"W3123278589","doi":"10.36911/pannmed.v8i3.371","title":"UJI EFEKTIFITAS EKSTRAK DAUN PANDAN WANGI (Pandanus amarylifolius) SEBAGAI LARVASIDA TERHADAP LARVA Aedes aegypti","year":2019,"lang":"id","type":"article","venue":"Jurnal Ilmiah PANNMED (Pharmacist Analyst Nurse Nutrition Midwivery Environment Dentist)","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Aedes aegypti; Traditional medicine; Biology; Larva; Botany; Medicine","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001315491,0.001433702,0.001663495,0.000407121,0.001514901,0.001238383,0.001679883,0.00083159,0.01844602],"category_scores_gemma":[0.00004757442,0.0008989268,0.001670311,0.001200369,0.0008898859,0.001422981,0.0004298032,0.0018251,0.009629753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009948425,"about_ca_system_score_gemma":0.00009449413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365732,"about_ca_topic_score_gemma":0.0001106554,"domain_scores_codex":[0.988899,0.001301881,0.001904457,0.00226637,0.003215255,0.002413057],"domain_scores_gemma":[0.9961596,0.0004756166,0.0009916114,0.0006932383,0.0001884352,0.001491532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001807133,0.007113426,0.08824514,0.0009575054,0.00215106,0.002512153,0.0004224989,0.0001712679,0.8454155,0.0001006421,0.03615581,0.01494781],"study_design_scores_gemma":[0.01591872,0.002968456,0.4510294,0.001713631,0.003967606,0.001521349,0.009015996,0.00186404,0.05722699,0.0003894937,0.4489805,0.005403874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813187,0.007056674,0.00003345969,0.001933489,0.002096649,0.002311322,0.001601156,0.000167775,0.003480839],"genre_scores_gemma":[0.9310913,0.01908538,0.00008793706,0.0003927009,0.00168994,0.0001623892,0.002354524,0.00004597855,0.04508986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7881886,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029703975334009,"score_gpt":0.2586946166552839,"score_spread":0.2383975769019438,"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."}}