{"id":"W2956875914","doi":"10.35791/agrsosek.13.3.2017.18014","title":"KESESUAIAN LOKASI DAN TANGGAPAN MASYARAKAT UNTUK TEMPAT PEMROSESAN AKHIR (TPA) SAMPAH DI KOTA KOTAMOBAGU","year":2017,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Limiting; Environmental science; Land area; Municipal solid waste; Environmental engineering; Waste management; Engineering; Agricultural science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005900581,0.000538199,0.0005136767,0.00009568659,0.00175609,0.0006580841,0.00193134,0.0002126065,0.00100538],"category_scores_gemma":[0.0001150121,0.0004591143,0.0002672649,0.000160473,0.0006111768,0.0009324116,0.001681712,0.0004337848,0.002330305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293017,"about_ca_system_score_gemma":0.00001857895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130572,"about_ca_topic_score_gemma":0.001652919,"domain_scores_codex":[0.9967527,0.0001172559,0.0005360245,0.001036711,0.0005358817,0.00102141],"domain_scores_gemma":[0.9971363,0.0001042994,0.000460374,0.001861385,0.00001373024,0.0004239384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006112259,0.0002250538,0.9533778,0.00004204589,0.0000656272,0.00006197691,0.0006166732,0.000534343,0.008185956,0.0003999567,0.01249251,0.02393692],"study_design_scores_gemma":[0.0009160495,0.0001332819,0.9017421,0.00007237121,0.00006819933,0.00001034485,0.0005309593,0.000882677,0.001960435,0.0002055646,0.0927405,0.0007375125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869588,0.00005920509,0.0001058348,0.001400324,0.001133369,0.0005839282,0.00001834293,0.0001542033,0.1095859],"genre_scores_gemma":[0.9853209,0.00009654847,0.0004031797,0.0003338425,0.0005055718,0.00004751968,0.0000416003,0.00007270306,0.01317819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09836198,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775385792149799,"score_gpt":0.2404865013030824,"score_spread":0.2227326433815844,"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."}}