{"id":"W3118828057","doi":"10.33772/jagat.v4i2.15338","title":"Analisis Faktor-Faktor Yang Mempengaruhi Pola Permukiman Sebagian Wilayah Kecamatan Kambu Kota Kendari","year":2020,"lang":"id","type":"article","venue":"JAGAT (Jurnal Geografi Aplikasi dan Teknologi)","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001151063,0.001756842,0.001513164,0.0004661876,0.001605107,0.001305912,0.003182419,0.0007222363,0.006696661],"category_scores_gemma":[0.0003957119,0.001695548,0.0009833747,0.002422591,0.001315054,0.001266098,0.005155589,0.002051258,0.005216867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009859534,"about_ca_system_score_gemma":0.0002079669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451733,"about_ca_topic_score_gemma":0.0004615889,"domain_scores_codex":[0.9893084,0.0005695235,0.002124653,0.002806657,0.002373355,0.002817431],"domain_scores_gemma":[0.9951491,0.0002098598,0.001078751,0.001531025,0.0001063936,0.00192481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009666649,0.001224477,0.706175,0.0005777375,0.001404349,0.00245971,0.006644276,0.0002702157,0.01983819,0.0007717873,0.1313457,0.1283218],"study_design_scores_gemma":[0.002678729,0.001474519,0.5582753,0.0002543323,0.0005726954,0.0001239771,0.009010072,0.001324583,0.003660708,0.0001529773,0.4196419,0.002830155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262234,0.001700553,0.0003794681,0.01878046,0.001956469,0.002012,0.0004061675,0.0008970337,0.04764446],"genre_scores_gemma":[0.9862416,0.001024139,0.001964908,0.00571542,0.001021785,0.00007653556,0.0002801942,0.0002104434,0.003464942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2882962,"threshold_uncertainty_score":0.9997308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643152323840343,"score_gpt":0.2207903216402656,"score_spread":0.2043587984018622,"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."}}