{"id":"W2112240479","doi":"10.82308/19733","title":"Feasibility of low cost vermicompost production in Accra, Ghana","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Vermicompost; Table (database); Production (economics); Geography; Agricultural science; Mathematics; Environmental science; Biology; Ecology; Computer science; Economics; Nutrient","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001725594,0.0006467159,0.0008589353,0.000191316,0.0005888883,0.00004793605,0.0008576877,0.0008033783,0.0001114077],"category_scores_gemma":[0.001073473,0.0003724225,0.0003477739,0.001151687,0.00008625128,0.000351548,0.0001639939,0.001357314,0.00003543649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609558,"about_ca_system_score_gemma":0.00002886445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002952374,"about_ca_topic_score_gemma":0.02142524,"domain_scores_codex":[0.9957514,0.0003539215,0.001232095,0.001260648,0.0006967587,0.0007051186],"domain_scores_gemma":[0.9976494,0.0004565128,0.0008350534,0.0003618254,0.0004962283,0.0002009525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000523553,0.0007253528,0.002692751,0.0002640831,0.00002515369,0.00002187062,0.000007522401,0.000005539128,0.6067562,0.000520391,0.00000539,0.3884522],"study_design_scores_gemma":[0.0005691573,0.0005580941,0.237317,0.002300397,0.00008726383,0.00003873721,0.0004266345,0.00001759266,0.7480034,0.005080085,0.004046171,0.001555548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864876,0.00008959793,1.361677e-8,0.00002813789,0.0008604821,0.0012824,0.0005976873,0.0004020279,0.01025208],"genre_scores_gemma":[0.9968905,0.00006611933,0.0002852732,0.00004747025,0.0001064152,0.00005678078,0.001682479,0.00001524079,0.0008496902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3868967,"threshold_uncertainty_score":0.9998727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796711053491759,"score_gpt":0.2895733262002831,"score_spread":0.2516062156653655,"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."}}