{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011103,0.0006275941,0.0005086685,0.002165032,0.0008513859,0.00303779,0.0006325539,0.0006064172,0.01087048],"category_scores_gemma":[0.004471085,0.0002896097,0.00102294,0.003346393,0.0005860969,0.001598399,0.001561539,0.001423116,0.001813786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499892,"about_ca_system_score_gemma":0.0025143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03171131,"about_ca_topic_score_gemma":0.04959333,"domain_scores_codex":[0.9984421,0.0004218205,0.0001549118,0.0002675631,0.0004787553,0.0002348256],"domain_scores_gemma":[0.9972313,0.0008854209,0.0005913306,0.0001756548,0.0009660266,0.000150323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007049169,0.0002934814,0.7316348,0.004066797,0.0007588935,0.001365737,0.0158215,0.002374973,0.005471424,0.01107966,0.03056021,0.1958676],"study_design_scores_gemma":[0.00002407805,0.0002648097,0.8160415,0.001047362,0.0004572209,0.0005828284,0.03265672,0.003004033,0.003810363,0.002770004,0.1392531,0.00008796692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642808,0.01065714,0.01058151,0.005354447,0.0004216037,0.0005666356,0.02562212,0.0003231976,0.0821926],"genre_scores_gemma":[0.9442334,0.004949145,0.00904006,0.00073458,0.0001309446,0.0004453685,0.008692382,0.0001024249,0.03167176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171131,"threshold_uncertainty_score":0.06305349,"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."}}