{"id":"W2924739807","doi":"10.36456/waktu.v13i2.62","title":"STATUS KEPEMILIKAN LAHAN PENDUKUNG PERTUMBUHAN PERMUKIMAN KUMUH DI KAWASAN REL","year":2016,"lang":"id","type":"article","venue":"Waktu","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; 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":[0.0004112826,0.0005863661,0.0004121022,0.0001398717,0.0004858295,0.0001876679,0.0007093418,0.000172794,0.006915877],"category_scores_gemma":[0.00008649909,0.0004417704,0.0002107981,0.0003909764,0.0004576757,0.0006547231,0.001636237,0.0002377823,0.01278997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008269684,"about_ca_system_score_gemma":0.00006409112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008689153,"about_ca_topic_score_gemma":0.001230623,"domain_scores_codex":[0.9955901,0.0001365026,0.0005937298,0.001153522,0.0009957819,0.001530375],"domain_scores_gemma":[0.9981527,0.0001057291,0.0002007759,0.0008815484,0.00002132301,0.0006379706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002178793,0.0007606338,0.4037905,0.0001422528,0.0001874077,0.0002790198,0.00506428,0.00001127182,0.07334626,0.001314757,0.08871206,0.4261737],"study_design_scores_gemma":[0.001232578,0.0002256089,0.522965,0.000210984,0.00006156858,0.000008108884,0.0007792821,0.00007782092,0.00306673,0.0003066955,0.4701809,0.0008847666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8470335,0.0004824193,0.0004538468,0.006103643,0.001474136,0.0008987819,0.00008171998,0.0003634114,0.1431085],"genre_scores_gemma":[0.8912822,0.0009912993,0.0002507096,0.0005379208,0.0001631851,0.00003596618,0.00002182015,0.00009409503,0.1066228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252889,"threshold_uncertainty_score":0.9998034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279287650102915,"score_gpt":0.2182348908128094,"score_spread":0.2054420143117802,"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."}}