{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003080533,0.0006718911,0.001081458,0.0007199642,0.001450641,0.004766691,0.002959891,0.0001711042,0.00000366138],"category_scores_gemma":[0.0002846607,0.0005548237,0.0002233686,0.002597502,0.0005765992,0.01173795,0.00115982,0.0009923372,0.00006865966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332426,"about_ca_system_score_gemma":0.001224472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000491068,"about_ca_topic_score_gemma":0.000001879176,"domain_scores_codex":[0.9927973,0.0004395575,0.002488401,0.000750886,0.002657885,0.0008660415],"domain_scores_gemma":[0.9923286,0.0002617232,0.003057038,0.0007770201,0.002373457,0.001202148],"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":[0.0001596432,0.0005428406,0.005894195,0.001373754,0.0003744231,0.0001174764,0.06661126,0.02139021,0.0008667326,0.004048128,0.02272454,0.8758968],"study_design_scores_gemma":[0.00148304,0.002481971,0.01098941,0.0005632702,0.00009513528,0.0009736292,0.001065535,0.8558147,0.00016486,0.000007767973,0.1257454,0.0006153608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366551,0.00247065,0.8468857,0.006121691,0.004219137,0.001946669,0.0001491481,0.0004874991,0.001064411],"genre_scores_gemma":[0.978085,0.0002424861,0.01920974,0.001238881,0.0009911675,0.00003242105,0.00015005,0.00003138442,0.00001891068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8752815,"threshold_uncertainty_score":0.9998493,"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."}}