{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041451,0.0006993068,0.00106128,0.001130976,0.0009044218,0.002503274,0.0006290469,0.001152821,0.01445474],"category_scores_gemma":[0.001495951,0.0004382534,0.001398308,0.0008401293,0.0007470506,0.001387338,0.001661251,0.001436152,0.002991796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839655,"about_ca_system_score_gemma":0.003112775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007014436,"about_ca_topic_score_gemma":0.01158523,"domain_scores_codex":[0.9988678,0.0002300608,0.000118213,0.0001678019,0.0004235203,0.0001925781],"domain_scores_gemma":[0.9993129,0.0001520228,0.000123321,0.00005724888,0.0002604715,0.00009416897],"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":[0.00551173,0.001448677,0.03838323,0.008022541,0.0005851241,0.004345152,0.002295585,0.001726245,0.2143538,0.004441696,0.01080286,0.7080834],"study_design_scores_gemma":[0.0007556872,0.01134888,0.2261205,0.002969334,0.001803757,0.02037658,0.01130882,0.003277523,0.1676539,0.008066123,0.5459676,0.0003511886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769222,0.09999444,0.02014227,0.007578764,0.001083713,0.001155696,0.00170223,0.0009270989,0.0981938],"genre_scores_gemma":[0.882938,0.03626382,0.01940621,0.001712291,0.0002384937,0.0007235206,0.001401085,0.0002897933,0.05702682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445474,"threshold_uncertainty_score":0.04835594,"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."}}