{"id":"W2600891359","doi":"10.23887/jptk-undiksha.v9i1.2877","title":"TANAH LONGSOR : MEMPERKECIL RESIKO BENCANA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS ( Studi Kasus : Kecamatan Kokap, Kulon Progo, DIY )","year":2012,"lang":"id","type":"article","venue":"Jurnal Pendidikan Teknologi dan Kejuruan","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006496835,0.002365671,0.00273123,0.001625922,0.002122934,0.001955625,0.006706411,0.00123191,0.0003416321],"category_scores_gemma":[0.002074975,0.002137235,0.001178481,0.002964971,0.001072031,0.004900734,0.003112234,0.003838316,0.002219912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017276,"about_ca_system_score_gemma":0.001187401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009887137,"about_ca_topic_score_gemma":0.001399622,"domain_scores_codex":[0.9817508,0.002472373,0.0037436,0.002531244,0.003927065,0.005574916],"domain_scores_gemma":[0.9878368,0.001243154,0.003089719,0.004239589,0.0008221435,0.002768643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005234906,0.003152758,0.723925,0.001849385,0.003043049,0.001561332,0.03360457,0.0001177155,0.00274295,0.01047425,0.02174065,0.1972648],"study_design_scores_gemma":[0.003753377,0.003244922,0.6100706,0.001201414,0.0007292068,0.001525257,0.006509081,0.003471992,0.003186427,0.000040993,0.362335,0.00393168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379661,0.01334529,0.001069401,0.002735092,0.01291667,0.004292012,0.000105294,0.00209443,0.02547571],"genre_scores_gemma":[0.9788095,0.000721739,0.004560859,0.0004162441,0.002522226,0.0003896347,0.00013524,0.0002616076,0.01218296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3405944,"threshold_uncertainty_score":0.9991761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678291098163099,"score_gpt":0.2648369967557573,"score_spread":0.2380540857741263,"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."}}