{"id":"W2899305926","doi":"10.1371/journal.pone.0206924","title":"Getting to the root of the matter: Water-soluble and volatile components in thermally-treated biosolids and biochar differentially regulate maize (Zea mays) seedling growth","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Biosolids; Seedling; Agronomy; Chemistry; Amendment; Soil conditioner; Mineralization (soil science); Soil organic matter; Nutrient; Soil water; Environmental chemistry; Environmental science; Biology; Pyrolysis; Environmental engineering; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005074222,0.0002465566,0.0001165219,0.0001243015,0.00008737892,0.0001854171,0.0001104418,0.0001470774,0.0006519479],"category_scores_gemma":[0.00006927083,0.0001000581,0.0001654966,0.0001100718,0.0001508488,0.0001515934,0.0001054884,0.0003018464,0.0001169302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313035,"about_ca_system_score_gemma":0.0001840383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813162,"about_ca_topic_score_gemma":0.003919538,"domain_scores_codex":[0.9999363,0.00000533988,0.000003395976,0.0000215105,0.00001650393,0.00001699631],"domain_scores_gemma":[0.9999158,0.000009786504,0.00002952347,0.000005481476,0.00001329222,0.00002592138],"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":[0.00004222615,0.000004558315,0.0001934004,0.000006886101,0.000001427219,0.000004085623,0.000003052601,0.000008986583,0.9995461,0.000006751508,0.00000275284,0.0001797814],"study_design_scores_gemma":[0.00001005357,0.0002832274,0.04161152,0.000003546091,0.00001250168,0.00003724711,0.00003194743,0.0003485866,0.9569049,0.00003188418,0.000721038,0.000003605288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998499,0.0003345492,0.000609538,0.00002204364,0.000006760438,0.000008640549,0.0002044504,0.00001785075,0.0002971685],"genre_scores_gemma":[0.9971831,0.0001957503,0.0008077984,0.00003367041,0.000002945875,0.00001614634,0.0003567942,0.00001199386,0.001391698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001813162,"threshold_uncertainty_score":0.003605247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373514616775244,"score_gpt":0.1754546940235153,"score_spread":0.1617195478557628,"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."}}