{"id":"W4302304785","doi":"10.3389/fsufs.2022.706271","title":"Trade-offs in organic nutrient management strategies across mixed vegetable farms in Southwest British Columbia","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of British Columbia","funders":"Agriculture and Agri-Food Canada; Mitacs","keywords":"Compost; Environmental science; Agronomy; Nutrient; Nutrient management; Soil health; Crop yield; Crop; Soil carbon; Soil organic matter; Fertilizer; Soil water; Biology; Ecology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001014784,0.0001896895,0.0004756394,0.00006448848,0.0003471189,0.0007288765,0.0005277099,0.0001229013,0.00006280152],"category_scores_gemma":[0.00001588751,0.0001610065,0.00008734489,0.00196139,0.00006056928,0.0002296401,0.0003198202,0.0003746432,0.000001298477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076812,"about_ca_system_score_gemma":0.00005061234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08782219,"about_ca_topic_score_gemma":0.2790953,"domain_scores_codex":[0.9969862,0.0003474578,0.0005700889,0.0005674681,0.0004439557,0.001084864],"domain_scores_gemma":[0.9995804,0.00003343137,0.0001328782,0.0001258558,0.00003323672,0.00009423165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001217122,0.0008496997,0.9823921,0.0004781535,0.00006995696,0.001861911,0.002990068,0.003782389,0.0001961357,0.001316072,0.003121282,0.002820572],"study_design_scores_gemma":[0.001270288,0.0004437582,0.341864,0.00006269618,0.000008255734,0.00003521187,0.6341758,0.002089586,0.000006061558,0.002014716,0.01758798,0.0004415459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936327,0.003005092,0.00001293365,0.00007528966,0.0009635833,0.001263084,0.00008470032,0.00006620162,0.0008963736],"genre_scores_gemma":[0.9958282,0.00007412694,0.00002469756,0.00003619617,0.00005146791,0.0005963888,0.00009213482,0.000006045593,0.003290805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.640528,"threshold_uncertainty_score":0.9182521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961288815805725,"score_gpt":0.1884509226665994,"score_spread":0.1814896338507937,"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."}}