{"id":"W3123218820","doi":"10.34123/semnasoffstat.v2020i1.605","title":"FAKTOR YANG MEMPENGARUHI PENGGUNAAN SUMBER AIR MINUM LAYAK DI BENGKULU TAHUN 2018","year":2021,"lang":"id","type":"article","venue":"Seminar Nasional Official Statistics","topic":"Public Health and Nutrition","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009068637,0.0007045166,0.00116045,0.0002434031,0.000729407,0.0001034529,0.0003243428,0.000756574,0.002005706],"category_scores_gemma":[0.003725293,0.0007598968,0.0002928181,0.0008035909,0.0003461068,0.0002092357,0.0002776647,0.001335583,0.001515463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007252001,"about_ca_system_score_gemma":0.004864831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004644739,"about_ca_topic_score_gemma":0.0008433202,"domain_scores_codex":[0.9937314,0.0005314394,0.00142399,0.001016988,0.001784887,0.001511264],"domain_scores_gemma":[0.9942346,0.001676002,0.0004685903,0.0006597122,0.001409782,0.001551364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002076,0.004404149,0.0077174,0.002673593,0.000417338,0.00677819,0.001287771,0.0000149264,0.005859309,0.01625924,0.9198645,0.03264753],"study_design_scores_gemma":[0.004416344,0.001498123,0.05627435,0.001542438,0.0006914112,0.0004688787,0.00174625,0.001070794,0.004653679,0.0006225122,0.9259101,0.001105187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786724,0.0424891,0.02614632,0.03857503,0.03189572,0.004894897,0.05144148,0.000684966,0.01714847],"genre_scores_gemma":[0.843398,0.006858602,0.02883392,0.009630024,0.02201067,0.0001280997,0.02917116,0.0005533459,0.05941612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05667403,"threshold_uncertainty_score":0.9994852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246024043185781,"score_gpt":0.3042940577103418,"score_spread":0.2818338172784841,"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."}}