{"id":"W7156092659","doi":"10.35718/sepakat.v4i5.8481592","title":"Optimalisasi Pertanian Berkelanjutan Melalui Pembuatan Pergola dan Sistem Penyiraman Otomatis di Kebun KWT Daun Sop Ceria KM. 21 Balikpapan","year":2025,"lang":"","type":"article","venue":"Seminar Nasional Pengabdian Kepada Masyarakat (SEPAKAT)","topic":"Agricultural Research and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Crop","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003344849,0.002517443,0.002380789,0.0004408096,0.00596496,0.003099271,0.004590123,0.001564681,0.008451207],"category_scores_gemma":[0.002390509,0.001409507,0.001688256,0.004316302,0.001469243,0.002820801,0.002247128,0.003274624,0.00163911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000834097,"about_ca_system_score_gemma":0.0007629067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241967,"about_ca_topic_score_gemma":0.00727445,"domain_scores_codex":[0.983216,0.002844525,0.002491014,0.003852901,0.003641725,0.003953802],"domain_scores_gemma":[0.9892466,0.004383005,0.001266384,0.001216716,0.001179251,0.002708053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006501429,0.005026166,0.06326741,0.00220716,0.002678303,0.004651918,0.005732097,0.0002485791,0.3331499,0.01623412,0.2961343,0.2641686],"study_design_scores_gemma":[0.003186255,0.004908381,0.3583766,0.003453083,0.001083903,0.001225534,0.03621702,0.002971757,0.007183656,0.003449091,0.5721499,0.00579481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161336,0.01647099,0.00001788329,0.02304077,0.002433589,0.003412627,0.001522033,0.0005127909,0.03645568],"genre_scores_gemma":[0.9470602,0.01091956,0.0008797304,0.001269855,0.002250837,0.000199728,0.002308772,0.0000556416,0.03505569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3259662,"threshold_uncertainty_score":0.9997315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600400499908438,"score_gpt":0.2760078111731973,"score_spread":0.2600038061741129,"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."}}