{"id":"W2800974643","doi":"10.25077/jtpa.22.1.1-12.2018","title":"APLIKASI HISTOGRAM UNTUK ANALISIS VARIABILITAS TEMPORAL DAN SPASIAL HUJAN BULANAN: STUDI DI WILAYAH UPT PSDA DI PASURUAN JAWA TIMUR","year":2018,"lang":"id","type":"article","venue":"Jurnal Teknologi Pertanian Andalas","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.001489803,0.001229678,0.001361469,0.0006888923,0.001465741,0.001582222,0.004166738,0.0006107896,0.0001450924],"category_scores_gemma":[0.0002816277,0.001098684,0.0006445314,0.002810649,0.001227572,0.001428227,0.001725184,0.001262647,0.0003363716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007147536,"about_ca_system_score_gemma":0.0006431972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000597415,"about_ca_topic_score_gemma":0.0008392382,"domain_scores_codex":[0.9919905,0.0003872921,0.00145335,0.002366669,0.001469001,0.002333155],"domain_scores_gemma":[0.9952857,0.0002606009,0.0005314791,0.002320949,0.0005833407,0.001017938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004437357,0.003327775,0.6976171,0.0004732156,0.001532463,0.003761902,0.02537362,0.001639929,0.004116143,0.01716634,0.04013614,0.2044117],"study_design_scores_gemma":[0.003273456,0.007644737,0.4266715,0.0006969504,0.0003139936,0.001473825,0.001114313,0.2713622,0.001191409,0.0006156868,0.2816851,0.003956862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619823,0.001433574,0.1115535,0.00511163,0.01239137,0.0008974065,0.00005237309,0.001124282,0.005453523],"genre_scores_gemma":[0.9899802,0.000141505,0.005535553,0.0006585249,0.002635868,0.00002781632,0.00001826331,0.00008600608,0.0009162164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2709455,"threshold_uncertainty_score":0.9998342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840613804318377,"score_gpt":0.2465918619183647,"score_spread":0.2281857238751809,"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."}}