{"id":"W4402075110","doi":"10.35308/jpami.v1i2.4353","title":"TEKNIK DAN APLIKASI OLAHAN LIMBAH AIR KELAPA MENJADI PUPUK ORGANIK CAIR GUNA MENINGKATKAN PRODUKSI TANAMAN","year":2021,"lang":"en","type":"article","venue":"Jurnal Pengabdian Agro and Marine Industry.","topic":"Plant Growth and Agriculture Techniques","field":"Agricultural and Biological Sciences","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003526121,0.0004518663,0.0004791006,0.00003907595,0.0005797371,0.0002580899,0.0004229636,0.0006025619,0.0004254099],"category_scores_gemma":[0.0001556668,0.0001934697,0.0001492237,0.0006983836,0.0001056219,0.000352168,0.0004430072,0.001337823,0.00002556288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006700607,"about_ca_system_score_gemma":0.00005995125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007639818,"about_ca_topic_score_gemma":0.002418661,"domain_scores_codex":[0.9975464,0.0001586563,0.000451904,0.0007280775,0.0003962344,0.0007187447],"domain_scores_gemma":[0.9987001,0.000132783,0.0002050757,0.0001542904,0.0001861769,0.0006216146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007193458,0.0003316925,0.06287119,0.00005450725,0.0001251447,0.0008822599,0.0001882862,9.247391e-7,0.7556372,0.002627751,0.06514882,0.1120603],"study_design_scores_gemma":[0.0004312017,0.0005959569,0.5013337,0.0001650127,0.0001054828,0.001402555,0.001193802,0.00001465176,0.1485206,0.0007235782,0.3444069,0.00110662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714649,0.000172301,0.000001145293,0.01200649,0.0001626696,0.0003306469,0.0001004083,0.0003052314,0.01545623],"genre_scores_gemma":[0.9858285,0.000222734,0.000181739,0.00149361,0.001326837,0.00003108045,0.0005621368,0.00000583345,0.01034753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6071166,"threshold_uncertainty_score":0.7889464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009072749989844434,"score_gpt":0.1920652237691484,"score_spread":0.182992473779304,"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."}}