{"id":"W4391295624","doi":"10.35760/dk.2023.v22i2.8627","title":"PEMANFAATAN DATA TROPICAL RAINFALL MEASURING MISSION PADA STASIUN HUJAN DI WILAYAH SUNGAI BENANAIN","year":2023,"lang":"id","type":"article","venue":"Jurnal Ilmiah Desain & Konstruksi","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Environmental science; Forestry; Hydrology (agriculture); Meteorology; Geography; Geology","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":[0.0004992847,0.0003378585,0.0002769249,0.0008132163,0.0004762371,0.000682973,0.0004163689,0.00020359,0.01011783],"category_scores_gemma":[0.001081713,0.0001609888,0.0001843497,0.001975683,0.0001151572,0.0005111225,0.0004167459,0.000452618,0.002455326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000941733,"about_ca_system_score_gemma":0.001607656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08970761,"about_ca_topic_score_gemma":0.1528642,"domain_scores_codex":[0.9997167,0.00004417938,0.00001768506,0.00005791314,0.0001271778,0.00003638518],"domain_scores_gemma":[0.9991406,0.0001026585,0.00007360106,0.00009758129,0.0005270822,0.00005845485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009244669,0.0003327345,0.339112,0.0008504973,0.0002878988,0.000484425,0.001577148,0.00897626,0.01911846,0.004301826,0.2772085,0.3468258],"study_design_scores_gemma":[0.0001593548,0.0000927013,0.5563068,0.0001680919,0.0001073836,0.000157895,0.002013275,0.01573096,0.01991623,0.0009960856,0.4042822,0.00006909023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4881803,0.001472165,0.01746104,0.002579302,0.000440307,0.0004463347,0.3332871,0.006065277,0.1500682],"genre_scores_gemma":[0.668038,0.0009754405,0.03599616,0.0004322848,0.0001180813,0.0005548471,0.2415708,0.0007606118,0.05155385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08970761,"threshold_uncertainty_score":0.1783709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09636906750468922,"score_gpt":0.3062510990431075,"score_spread":0.2098820315384183,"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."}}