{"id":"W2035102675","doi":"10.4028/www.scientific.net/amr.1051.388","title":"Biochar Production from Agricultural Waste in Amphawa District, Samutsongkram Province Thailand","year":2014,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Research Council of Thailand","keywords":"Biochar; Raw material; Char; Pyrolysis; Agriculture; Hyacinth; Environmental science; Pulp and paper industry; Waste management; Agroforestry; Chemistry; Geography; Engineering","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":[0.00008945692,0.0002079632,0.0001217178,0.0007298973,0.000520033,0.000606571,0.0001492862,0.0001522752,0.0008873888],"category_scores_gemma":[0.00008791601,0.0001578063,0.0001573363,0.0008826643,0.0002019988,0.0002220159,0.0002840047,0.0001703595,0.0001843107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138022,"about_ca_system_score_gemma":0.0007427492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008323761,"about_ca_topic_score_gemma":0.02950949,"domain_scores_codex":[0.9999317,0.00001113062,0.000007279531,0.00001179706,0.00001923426,0.00001896978],"domain_scores_gemma":[0.9999039,0.00001532513,0.0000257277,0.00000328477,0.00002122451,0.00003055787],"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":[0.0006539015,0.0002701953,0.2728109,0.001775391,0.0001179312,0.009590173,0.004433734,0.004489417,0.6180578,0.0005346508,0.0006552122,0.08661069],"study_design_scores_gemma":[0.0000634832,0.001018981,0.7922019,0.0001897072,0.0001213804,0.006635248,0.02586035,0.005764996,0.152013,0.0003863911,0.01568943,0.00005517321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983942,0.0001716049,0.0001933891,0.00002368239,0.000001208187,0.00001229674,0.0001294823,0.000007277216,0.001066913],"genre_scores_gemma":[0.9974626,0.0003355692,0.0004707895,0.000009712738,0.000001288678,0.00001181516,0.0001802509,0.000003893227,0.001524066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008323761,"threshold_uncertainty_score":0.0165506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674770353699469,"score_gpt":0.3006143339273282,"score_spread":0.2638666303903335,"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."}}