{"id":"W3107372481","doi":"","title":"FUZZY LOGIC MAMDANI PENERIMAAN SEMBAKO UNTUK KELUARGA MISKIN","year":2020,"lang":"id","type":"article","venue":"","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Government (linguistics); Poverty; Economics; Agriculture; Economic growth; Business; Public economics; Development economics; Geography","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":[0.0007019007,0.0006669161,0.0008364881,0.0001354023,0.0002947159,0.0008651784,0.002877461,0.0003571365,0.002552916],"category_scores_gemma":[0.0004630125,0.0006161289,0.0003051569,0.001191322,0.0001777308,0.0005528524,0.001102549,0.0008192313,0.02397781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477633,"about_ca_system_score_gemma":0.0003963352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004933706,"about_ca_topic_score_gemma":0.00003574529,"domain_scores_codex":[0.9943634,0.0007317311,0.0009190137,0.001715926,0.001120711,0.001149161],"domain_scores_gemma":[0.9967859,0.0002919292,0.0004228443,0.001291543,0.0002249525,0.000982774],"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":[0.0002705003,0.001472008,0.02238505,0.002814208,0.0009694739,0.003422569,0.08256332,0.004633104,0.08640601,0.2048335,0.4602711,0.1299592],"study_design_scores_gemma":[0.003101499,0.001660525,0.007115431,0.0002468742,0.0001115699,0.0002254525,0.001393897,0.449432,0.007667503,0.0007651405,0.5253929,0.002887221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01959233,0.002853508,0.2335412,0.09132677,0.008706369,0.002413188,0.00002634572,0.003324922,0.6382154],"genre_scores_gemma":[0.9201713,0.00008297274,0.03486127,0.01071485,0.002347722,0.00003627562,0.00001957512,0.0001176944,0.03164836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.900579,"threshold_uncertainty_score":0.999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539324620796208,"score_gpt":0.2594598196717026,"score_spread":0.2140665734637405,"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."}}