{"id":"W4387226944","doi":"10.59697/jik.v1i2.444","title":"Sistem Informasi Geografis Pemetaan Lokasi Budidaya Tambak Ikan Di Dinas Perikanan Dan Kelautan Kabupaten Langkat Menggunakan Metode Clustering","year":2017,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics","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":[0.002378793,0.001293385,0.00164285,0.002568248,0.001675663,0.004782196,0.001472703,0.001476374,0.009481302],"category_scores_gemma":[0.005040904,0.0007142805,0.001664894,0.00482522,0.0007231158,0.003218801,0.002021345,0.001599722,0.008885819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899043,"about_ca_system_score_gemma":0.003200816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307846,"about_ca_topic_score_gemma":0.01485102,"domain_scores_codex":[0.9972839,0.0005566647,0.0002266358,0.0006112895,0.001103762,0.0002178104],"domain_scores_gemma":[0.9962391,0.0009802433,0.0001966957,0.0007585592,0.001638967,0.0001864404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000820992,0.0004462553,0.03099121,0.001553696,0.0004649322,0.0005954076,0.001741188,0.05167187,0.05463705,0.01866011,0.04750563,0.7909116],"study_design_scores_gemma":[0.0001139187,0.0004849714,0.0501171,0.0003964492,0.0004310799,0.001537884,0.005345698,0.5505484,0.08945478,0.04998413,0.2512385,0.0003470113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192794,0.003211376,0.8021502,0.004237423,0.0006543223,0.001022324,0.009440089,0.01114307,0.04886182],"genre_scores_gemma":[0.4757067,0.003170554,0.432276,0.0007491166,0.0002915727,0.0008006188,0.01951441,0.00157524,0.0659158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01307846,"threshold_uncertainty_score":0.03171813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956486366730448,"score_gpt":0.2750290136792087,"score_spread":0.2454641500119042,"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."}}