{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680549,0.0004975994,0.0004592512,0.001540596,0.001621995,0.003950055,0.0008878642,0.0006027243,0.03330345],"category_scores_gemma":[0.004493441,0.0003291078,0.0005236577,0.002138086,0.0007740909,0.00259269,0.0025172,0.001090591,0.005714945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002443656,"about_ca_system_score_gemma":0.002990967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03850557,"about_ca_topic_score_gemma":0.07769062,"domain_scores_codex":[0.9988952,0.000245055,0.00009192411,0.0002156009,0.0003501003,0.0002021017],"domain_scores_gemma":[0.9970939,0.0007868393,0.000463477,0.000259532,0.001107247,0.0002890816],"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":[0.001129242,0.0003193152,0.4009333,0.003541648,0.0001878205,0.001857519,0.04100816,0.0005025541,0.009230312,0.03047171,0.07204684,0.4387715],"study_design_scores_gemma":[0.00003163291,0.0003379161,0.5597656,0.001086593,0.0001798741,0.0006270013,0.05454729,0.0006086645,0.005141854,0.004139742,0.3734335,0.0001002738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6253372,0.007281978,0.007618757,0.01262187,0.001232278,0.0006455647,0.01842472,0.0004427338,0.326395],"genre_scores_gemma":[0.8076465,0.006586256,0.009342629,0.001683916,0.000266296,0.00082293,0.007985971,0.0002061666,0.1654593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850557,"threshold_uncertainty_score":0.1114112,"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."}}