{"id":"W2791852066","doi":"10.1515/intag-2016-0094","title":"Influence of wood-derived biochar on the physico-mechanical and chemical characteristics of agricultural soils","year":2018,"lang":"en","type":"article","venue":"International Agrophysics","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biochar; Loam; Soil water; Amendment; Compaction; Environmental science; Soil fertility; Agronomy; Bulk density; Soil texture; Soil compaction; Soil science; Chemistry; Geology; Geotechnical engineering; Biology; Pyrolysis","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":[0.000197914,0.0002817709,0.0001803403,0.0002570096,0.0001387036,0.0003871158,0.0001108436,0.0001524133,0.0005186803],"category_scores_gemma":[0.000311649,0.000117976,0.0001589519,0.0002124864,0.0001763849,0.0001313581,0.0001608644,0.000201246,0.000102519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658222,"about_ca_system_score_gemma":0.0001645072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301551,"about_ca_topic_score_gemma":0.002561998,"domain_scores_codex":[0.9998323,0.0000357115,0.00001809595,0.00003062272,0.00004535493,0.00003788292],"domain_scores_gemma":[0.9997378,0.00006823089,0.00006377851,0.00001548844,0.00004979881,0.00006490407],"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":[0.0003164008,0.00004940498,0.003012689,0.00006933342,0.00002333668,0.00003156923,0.00001653829,0.000239913,0.9937657,0.00001442336,0.00001613363,0.002444464],"study_design_scores_gemma":[0.00002051845,0.001521514,0.1029679,0.00002329904,0.00006622219,0.00008852933,0.0001345197,0.0008339742,0.8929895,0.00004772094,0.001294849,0.00001134126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988158,0.0003262599,0.0002297823,0.00000895584,0.00000785768,0.00001112626,0.0001325484,0.000005864545,0.0004618212],"genre_scores_gemma":[0.9988678,0.0002388024,0.0004088886,0.00001640869,0.000003220671,0.000008235692,0.0001182164,0.000003067766,0.0003354457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301551,"threshold_uncertainty_score":0.002587914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198774167244726,"score_gpt":0.2052549740008518,"score_spread":0.1932672323284046,"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."}}