{"id":"W4285664007","doi":"10.24912/computatio.v4i1.7190","title":"Program Pendeteksi Perubahan Fungsi Lahan Menggunakan Metode Ridge Regression Dan Support Vector Machine (Studi Kasus: 95 Kecamatan Di Wilayah Bekasi, Depok Dan Tangerang)","year":2020,"lang":"id","type":"article","venue":"Computatio Journal of Computer Science and Information Systems","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Physics; Geography; Mathematics; Humanities; Art","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":[0.001535758,0.0007890674,0.0005846404,0.0007206725,0.000385884,0.001463052,0.0006314438,0.0004037715,0.01639852],"category_scores_gemma":[0.004014337,0.0003334262,0.0007927305,0.0009349542,0.0001765777,0.0008714915,0.0007468402,0.0008269342,0.005872586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621489,"about_ca_system_score_gemma":0.001489313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355454,"about_ca_topic_score_gemma":0.006258335,"domain_scores_codex":[0.9992545,0.0001639753,0.0000449229,0.0002375859,0.0002211729,0.00007772617],"domain_scores_gemma":[0.9978991,0.0009967233,0.0001566936,0.0001438199,0.0007161291,0.00008759888],"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":[0.001514533,0.001264529,0.06184698,0.0008446827,0.0002574437,0.0002345675,0.001083525,0.02375172,0.01756778,0.002369744,0.02489146,0.864373],"study_design_scores_gemma":[0.0005181748,0.003491256,0.2969033,0.0005590236,0.0009696741,0.0005703544,0.005976399,0.4047932,0.1059526,0.008101308,0.171899,0.0002656906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6705598,0.00167498,0.2415332,0.001639968,0.0003145992,0.001614792,0.008667534,0.01244757,0.06154759],"genre_scores_gemma":[0.7450989,0.0010657,0.1487964,0.000279687,0.00006726914,0.002173006,0.009305265,0.001126112,0.09208766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639852,"threshold_uncertainty_score":0.05485851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029074193483827,"score_gpt":0.2797459611494528,"score_spread":0.2594552192146146,"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."}}