{"id":"W4312684679","doi":"10.7451/cbe.2021.63.6.1","title":"Biochar application on commercial field crops using farm-scale equipmen","year":2021,"lang":"en","type":"article","venue":"Canadian Biosystems Engineering","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Norleaf Networks (Canada); McGill University","funders":"","keywords":"Biochar; Environmental science; Agronomy; Manure; Forage; Compost; Agriculture; Growing season; Pyrolysis; Agroforestry; Waste management; Geography; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000672363,0.0001083539,0.000110177,0.00002770737,0.0001292868,0.00007694623,0.0001354543,0.00009109927,0.0001073769],"category_scores_gemma":[0.00001731186,0.00006053138,0.00004970558,0.0002871008,0.000005162856,0.00003270928,0.00002407843,0.00008114379,0.00005137335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009247575,"about_ca_system_score_gemma":0.00001538063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05647501,"about_ca_topic_score_gemma":0.2122242,"domain_scores_codex":[0.9992832,0.00001210416,0.0001266164,0.0002057906,0.00009228969,0.0002800106],"domain_scores_gemma":[0.9996566,0.00003248535,0.00002457359,0.00007675578,0.00003088613,0.0001786978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006332179,0.00002636278,0.01595905,0.00005949408,0.00003968036,0.00005437074,0.0001305186,0.0005189638,0.8797708,0.002057583,0.002363888,0.09901292],"study_design_scores_gemma":[0.000315902,0.0001857502,0.09258931,0.0002618658,0.00004234252,0.00002593851,0.0009760848,0.01002393,0.1449172,0.00002465054,0.7495492,0.001087868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957679,0.0001405013,0.00008036713,0.00110858,0.0003807941,0.000137265,0.00002418826,0.00006303632,0.002297381],"genre_scores_gemma":[0.998729,0.000006592049,0.00003513191,0.0005194095,0.0004566674,0.00001209916,0.00004158502,0.000001962517,0.0001975535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7471853,"threshold_uncertainty_score":0.949808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406701578045065,"score_gpt":0.1882179480319531,"score_spread":0.1741509322515024,"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."}}