{"id":"W2994087246","doi":"","title":"SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT UNGGUL TANAMAN JAMBU MADU MENGGUNAKAN METODE SAW","year":2018,"lang":"id","type":"article","venue":"","topic":"Plant Growth and Agriculture Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Mathematics; Horticulture; Biology","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":[0.0009449791,0.000707578,0.0008705068,0.0008885831,0.001715087,0.004634326,0.0007513508,0.001020016,0.02077046],"category_scores_gemma":[0.001030927,0.0004658589,0.0005423524,0.001174272,0.0006034145,0.002291187,0.001889094,0.0012617,0.01085119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132845,"about_ca_system_score_gemma":0.001934961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003610804,"about_ca_topic_score_gemma":0.00582482,"domain_scores_codex":[0.9994585,0.00006762015,0.00003181979,0.0001319053,0.0002228956,0.00008719799],"domain_scores_gemma":[0.9995632,0.00008379664,0.00003280475,0.00005999777,0.0002006365,0.00005959801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001235507,0.0004901615,0.01307429,0.002514689,0.0001646542,0.001213253,0.004525772,0.003370618,0.3096615,0.0303054,0.02124094,0.6122033],"study_design_scores_gemma":[0.000108545,0.0008419172,0.03942984,0.0005352516,0.0003102899,0.001329319,0.00680904,0.01515279,0.1644765,0.01566802,0.7551437,0.0001948313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4806869,0.02277847,0.0999986,0.00457958,0.00142178,0.0003970711,0.003979208,0.003852844,0.3823054],"genre_scores_gemma":[0.6972989,0.009190429,0.06122515,0.0008787048,0.0002133628,0.0002767402,0.004151842,0.001229216,0.2255356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077046,"threshold_uncertainty_score":0.06948411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582764224465286,"score_gpt":0.2192303823929014,"score_spread":0.2034027401482485,"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."}}