{"id":"W6989220591","doi":"","title":"ANALISIS EFEKTIVITAS LKMA 
\\nDALAM MENDUKUNG PERMODALAN PETANI DAN 
\\nFAKTOR– FAKTOR YANG MEMPENGARUHI EFEKTIVITAS 
\\nDI KABUPATEN LIMAPULUH KOTA","year":2017,"lang":"id","type":"dissertation","venue":"Andalas University eThesis (Andalas University)","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":"Modal; Transmission (telecommunications); Term (time)","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":[0.001724533,0.0006071566,0.0007579319,0.0008432515,0.0007535564,0.001954494,0.0005879421,0.0007893776,0.0133982],"category_scores_gemma":[0.001835817,0.0003919203,0.001159309,0.0008606534,0.0007023752,0.0009111037,0.0006948042,0.00110669,0.002356924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073628,"about_ca_system_score_gemma":0.0013629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009045881,"about_ca_topic_score_gemma":0.02164286,"domain_scores_codex":[0.9987361,0.0003673862,0.0001069282,0.0002350798,0.0003943345,0.0001602104],"domain_scores_gemma":[0.9982698,0.0006796579,0.0003536464,0.0001326499,0.0004786889,0.00008555965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008338299,0.001841149,0.3863602,0.008701866,0.001470595,0.001961213,0.007111247,0.001295162,0.2779644,0.004335564,0.01191793,0.2887022],"study_design_scores_gemma":[0.0001759442,0.007229512,0.6514677,0.001587279,0.001803243,0.001994612,0.0143979,0.001330127,0.1707674,0.00338307,0.145682,0.000181202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312724,0.01995648,0.00612155,0.002142252,0.0002966313,0.0008432177,0.006935441,0.0001637254,0.03226827],"genre_scores_gemma":[0.9276175,0.009106535,0.00918413,0.001118366,0.0000628195,0.0008828503,0.00345436,0.00009128058,0.04848204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133982,"threshold_uncertainty_score":0.04482144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703160884228541,"score_gpt":0.2424829467260795,"score_spread":0.2154513378837941,"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."}}