{"id":"W4206139009","doi":"10.24036/cived.v7i2.108655","title":"ASSESSMENT GREENSHIP NEIGHBORHOOD VERSI 1.0 PADA PERUMAHAN MENGGUNAKAN LOGIKA FUZZY","year":2020,"lang":"id","type":"article","venue":"CIVED","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Forestry; Engineering; Humanities; Geography; 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":[0.0005202712,0.0006227166,0.0006063902,0.0001670528,0.000622028,0.0007823463,0.0008469599,0.0002341473,0.004038008],"category_scores_gemma":[0.0004276572,0.000671734,0.0003197711,0.0007294361,0.0001810907,0.0009276499,0.0008492816,0.0007285929,0.002799054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217367,"about_ca_system_score_gemma":0.0001456021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711494,"about_ca_topic_score_gemma":0.00008278725,"domain_scores_codex":[0.9967163,0.0001045012,0.0006270151,0.001006759,0.0006619956,0.0008834905],"domain_scores_gemma":[0.9982811,0.0001537156,0.0004529121,0.0005958647,0.0003608847,0.0001554738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004226532,0.0005665264,0.8873118,0.001968601,0.0004149291,0.0005440713,0.001178549,0.00001693802,0.01125513,0.004279059,0.05102205,0.04101969],"study_design_scores_gemma":[0.002446957,0.00008986368,0.8856677,0.000282856,0.0009045575,0.000003108292,0.001958849,0.001166757,0.00008066881,0.0002572642,0.1059264,0.001214957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6604143,0.001422947,0.0003830185,0.01608251,0.003088619,0.00153417,0.00005528099,0.0008745352,0.3161446],"genre_scores_gemma":[0.9906804,0.00009491968,0.0001280403,0.0058617,0.001247902,0.00003105506,0.00009666059,0.00008427027,0.001775075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3302661,"threshold_uncertainty_score":0.9995734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942905790444034,"score_gpt":0.2542533373872527,"score_spread":0.2148242794828124,"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."}}