{"id":"W4400499656","doi":"10.24252/jpm.v13i1.36431","title":"IDENTIFIKASI KARAKTERISTIK KAWASAN TEPIAN SUNGAI MUSI KOTA PALEMBANG (KASUS: KELURAHAN 5 ULU DAN 7 ULU)","year":2024,"lang":"id","type":"article","venue":"Plano Madani Jurnal Perencanaan Wilayah dan Kota","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"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":[0.001370956,0.0008552012,0.0006780774,0.001951925,0.002018598,0.002439768,0.0005370613,0.0008411306,0.01197443],"category_scores_gemma":[0.00323056,0.0004933099,0.0007346629,0.002901681,0.0008814936,0.0009909709,0.001991525,0.0008618696,0.001664534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312046,"about_ca_system_score_gemma":0.00252684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07395919,"about_ca_topic_score_gemma":0.1638881,"domain_scores_codex":[0.9989192,0.0002106397,0.00007492267,0.0002424053,0.0002980342,0.0002547533],"domain_scores_gemma":[0.9985124,0.0004383644,0.0002286655,0.0001420364,0.0005572684,0.0001211694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009008368,0.0002279085,0.7446641,0.001764963,0.0004928234,0.002697499,0.02026001,0.001575838,0.03835888,0.002883068,0.0046822,0.1814918],"study_design_scores_gemma":[0.00001896165,0.0002297801,0.9214083,0.0005264555,0.0002840016,0.0007985831,0.03213006,0.001226222,0.007852147,0.00138316,0.0340693,0.00007299992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651076,0.002745549,0.006150727,0.0008410342,0.0001091341,0.0002617566,0.003930776,0.0001063531,0.02074701],"genre_scores_gemma":[0.9747507,0.001139064,0.006861936,0.0001911272,0.00001446526,0.0001710972,0.002175254,0.00004714291,0.01464924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07395919,"threshold_uncertainty_score":0.1470574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229862318446064,"score_gpt":0.2313688758474558,"score_spread":0.2090702526629952,"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."}}