{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005021895,0.0005832738,0.0004105621,0.0006717652,0.000368589,0.002346943,0.0006942043,0.0006023389,0.04150349],"category_scores_gemma":[0.001520107,0.0003655482,0.0005786358,0.000541529,0.000192235,0.001023895,0.0007996804,0.000587725,0.006179189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005523223,"about_ca_system_score_gemma":0.0007041194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097028,"about_ca_topic_score_gemma":0.01188387,"domain_scores_codex":[0.9997669,0.00003562096,0.00001578485,0.0000541677,0.0001075389,0.00002005266],"domain_scores_gemma":[0.9996039,0.0001443699,0.00001943611,0.00002987197,0.0001810086,0.00002147551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006631141,0.0001942148,0.007883741,0.002026915,0.0001255147,0.0004852791,0.001476994,0.1497063,0.03488088,0.03878148,0.08319465,0.680581],"study_design_scores_gemma":[0.00007063674,0.0002478217,0.01468327,0.0003891174,0.0001238458,0.0003086815,0.001459255,0.7730337,0.03533351,0.0206681,0.1535317,0.0001502874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09294571,0.001650527,0.6852335,0.001227344,0.0003942144,0.0003582711,0.008378366,0.03060327,0.1792089],"genre_scores_gemma":[0.5658543,0.001795144,0.3131986,0.0002060027,0.00005282702,0.0006204169,0.008205053,0.001947101,0.1081205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04150349,"threshold_uncertainty_score":0.138843,"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."}}