{"id":"W2734732845","doi":"10.1016/j.jclepro.2017.07.084","title":"A green method for production of nanobiochar by ball milling- optimization and characterization","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":240,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ball mill; Materials science; Fourier transform infrared spectroscopy; Biochar; Agglomerate; Central composite design; Nanoparticle; Economies of agglomeration; Response surface methodology; Adsorption; Specific surface area; Scanning electron microscope; Chemical engineering; Composite material; Pyrolysis; Nanotechnology; Chemistry; Chromatography; Catalysis; Organic chemistry","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":[0.0004859785,0.0005475393,0.0004890822,0.0006675632,0.000271332,0.0003240118,0.0004410612,0.0004599918,0.0008660124],"category_scores_gemma":[0.000357406,0.0003900712,0.000396138,0.0004841023,0.0002972497,0.000454624,0.0004243758,0.0007903524,0.0005382808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361458,"about_ca_system_score_gemma":0.0004287462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004417725,"about_ca_topic_score_gemma":0.001348981,"domain_scores_codex":[0.9995184,0.00004297472,0.00002463727,0.00006737495,0.0003077045,0.00003891666],"domain_scores_gemma":[0.9997452,0.00005151736,0.00005445502,0.00003977098,0.00008537761,0.00002370828],"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":[0.00003256565,0.00004050372,0.0001011851,0.00007784687,0.000007762969,0.00002185512,0.00002159791,0.0002560354,0.9937503,0.0001269636,0.00007281727,0.005490538],"study_design_scores_gemma":[0.000007536346,0.0001134332,0.0005715095,0.000004979934,0.000008772715,0.0000711193,0.00001263948,0.00124832,0.9964677,0.00006346086,0.001420963,0.000009600401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125961,0.004005828,0.1774416,0.0004243118,0.000103562,0.0003903862,0.0008925617,0.0004366426,0.003708978],"genre_scores_gemma":[0.8506107,0.002428155,0.1400739,0.0001979246,0.00001901389,0.0003270217,0.0009145548,0.000165536,0.005263056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008660124,"threshold_uncertainty_score":0.002897143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327029949790106,"score_gpt":0.2433362937491573,"score_spread":0.2300659942512562,"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."}}