{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002894825,0.0002563987,0.0001745958,0.0002655362,0.0005261149,0.0002615801,0.0004799305,0.000204379,0.001562418],"category_scores_gemma":[0.0002486987,0.0001004725,0.0002085008,0.0002519721,0.0001708681,0.0001697835,0.0001673563,0.0001946017,0.0003102154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167873,"about_ca_system_score_gemma":0.0007034819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05080185,"about_ca_topic_score_gemma":0.1333213,"domain_scores_codex":[0.9998434,0.00001717949,0.000005651083,0.0000601955,0.00003976457,0.0000338243],"domain_scores_gemma":[0.9997742,0.00004190483,0.00002445828,0.00002587504,0.00008515662,0.0000484141],"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":[0.000471055,0.000624289,0.005265054,0.00009363246,0.00001580755,0.0001779813,0.000108408,0.0009752248,0.9744207,0.00003918824,0.0002225357,0.01758607],"study_design_scores_gemma":[0.00009854502,0.00999406,0.1595488,0.0000221351,0.00006333552,0.0001723833,0.0005605368,0.005928366,0.817405,0.00008624973,0.006085042,0.00003549743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981629,0.00005598448,0.0005072527,0.00001360065,0.000004553709,0.00007031295,0.0001791827,0.00002268428,0.0009835891],"genre_scores_gemma":[0.9880755,0.0002122743,0.006532243,0.00004109533,0.000004615388,0.00009271757,0.0005822729,0.00001672666,0.00444266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05080185,"threshold_uncertainty_score":0.1010123,"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."}}