{"id":"W4390719718","doi":"10.24815/jts.v12i2.32097","title":"ANALISA DERET WAKTU CURAH HUJAN DAN KARAKTERISTIK IKLIM DI KOTA MAJALENGKA","year":2023,"lang":"id","type":"article","venue":"Jurnal Teknik Sipil","topic":"Data Mining and Machine Learning Applications","field":"Computer 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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001266012,0.0006488088,0.0006530345,0.0005152064,0.001156988,0.001259398,0.003019415,0.0002718486,0.0001012101],"category_scores_gemma":[0.0004081131,0.0006523266,0.0003282702,0.002481866,0.0002830656,0.0007988558,0.001463338,0.001335283,0.005468084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534417,"about_ca_system_score_gemma":0.0003653413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002699012,"about_ca_topic_score_gemma":0.00005025833,"domain_scores_codex":[0.9948854,0.0004036356,0.000938276,0.0014377,0.001010504,0.001324516],"domain_scores_gemma":[0.9958701,0.0004540909,0.0005576569,0.002241464,0.0002126904,0.0006640563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009002269,0.0009908809,0.03635454,0.0004357509,0.0005749851,0.000746712,0.006755338,0.0006320258,0.007810008,0.02659727,0.5442244,0.374788],"study_design_scores_gemma":[0.001093377,0.0004865302,0.1630075,0.0003383191,0.0001466376,0.0002631121,0.0005161999,0.04924392,0.0005244393,0.0006945733,0.782412,0.001273381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888136,0.001819595,0.04333317,0.02703106,0.004906687,0.001112434,0.0008970392,0.003770731,0.02899328],"genre_scores_gemma":[0.9634634,0.000722801,0.003030835,0.001089321,0.001491819,0.0001122859,0.0005995693,0.0001376386,0.02935229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3735147,"threshold_uncertainty_score":0.9997774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924099535964676,"score_gpt":0.29823446345855,"score_spread":0.2689934680989033,"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."}}