{"id":"W4256356143","doi":"10.23887/jptk.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":3,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337869,0.0002926903,0.0002538541,0.00102526,0.00270748,0.007454837,0.0003734054,0.001067585,0.01832311],"category_scores_gemma":[0.003021293,0.000214054,0.0001796608,0.00160536,0.002291295,0.006907262,0.002365869,0.001560405,0.002355967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971808,"about_ca_system_score_gemma":0.002762953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065959,"about_ca_topic_score_gemma":0.01810541,"domain_scores_codex":[0.9990113,0.0004797499,0.00003772262,0.0001238286,0.0002254966,0.000121889],"domain_scores_gemma":[0.9978579,0.001250814,0.0001966369,0.0001026676,0.0003178985,0.0002742208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003086666,0.0003836285,0.1145817,0.001223795,0.00009522615,0.002306388,0.3289271,0.0004435758,0.002292354,0.2029331,0.09930711,0.2471973],"study_design_scores_gemma":[0.00002838573,0.0002009543,0.1127848,0.0009312743,0.00008926896,0.0009082017,0.2959471,0.0004299293,0.001976035,0.02495083,0.5616962,0.00005701749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4775786,0.02893557,0.001833491,0.04778518,0.0005597679,0.00007952846,0.0006848127,0.0001148443,0.4424282],"genre_scores_gemma":[0.8923196,0.01070292,0.0007767691,0.002809789,0.0001283146,0.00007079888,0.0001893712,0.00005634651,0.09294605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01832311,"threshold_uncertainty_score":0.06129694,"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."}}