{"id":"W4386650786","doi":"10.12962/j24423998.v19i1.17571","title":"Pembuatan Model Prediksi Lahan Terbangun di Kabupaten Kulon Progo dengan Citra Satelit Penginderaan Jauh","year":2023,"lang":"id","type":"article","venue":"Geoid","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001038867,0.0006921167,0.0005679253,0.0005808795,0.0005679387,0.00136122,0.004002603,0.0002663854,0.00002017073],"category_scores_gemma":[0.00005159928,0.000713104,0.0002999579,0.002433493,0.0001506378,0.001604687,0.002463247,0.0007054338,0.001316984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872196,"about_ca_system_score_gemma":0.0003656209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000989694,"about_ca_topic_score_gemma":0.00006457328,"domain_scores_codex":[0.994473,0.00009671585,0.0006968669,0.001617757,0.001122939,0.001992659],"domain_scores_gemma":[0.9966893,0.00009835447,0.0001594867,0.002265519,0.0001682488,0.0006191506],"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":[0.00007023993,0.0007243,0.009634609,0.001549332,0.0004577172,0.001882146,0.06483593,0.3846508,0.02365857,0.01121947,0.02018605,0.4811308],"study_design_scores_gemma":[0.0004414553,0.0001887857,0.01272182,0.0001972333,0.00002999664,0.00006498939,0.0001000438,0.9787857,0.001736128,0.0008147286,0.004068374,0.000850784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6059694,0.001309641,0.3759006,0.003415087,0.005682571,0.001231887,0.00005418331,0.00330173,0.003134952],"genre_scores_gemma":[0.9833819,0.0002815405,0.008846654,0.0002085934,0.0007343855,0.00008337743,0.00004635608,0.00008693206,0.006330251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5941349,"threshold_uncertainty_score":0.9996755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766790719075403,"score_gpt":0.2334569472108564,"score_spread":0.2057890400201024,"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."}}