{"id":"W4402084313","doi":"10.1016/j.agee.2024.109256","title":"Diversification of crops and intensification of canola impact the diversity, community structure, and productivity in successive crop systems: A study on arbuscular mycorrhizal fungal communities in roots and rhizosphere","year":2024,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Institut National de la Recherche Scientifique; Université de Montréal; Cégep Saint-Jean-sur-Richelieu; Agriculture and Agri-Food Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Rhizosphere; Canola; Arbuscular mycorrhizal fungi; Agronomy; Biology; Diversification (marketing strategy); Crop; Crop diversity; Fungal Diversity; Agricultural diversification; Crop productivity; Productivity; Agroforestry; Ecology; Agriculture; Economics; Business; Horticulture; Inoculation","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":[0.0003742128,0.0002350973,0.0002143236,0.0008066807,0.000574618,0.0007048351,0.0003089575,0.0003092855,0.0008851662],"category_scores_gemma":[0.0004539544,0.0001498085,0.0003148732,0.0005923327,0.0003099036,0.0006000844,0.0005393799,0.0003034463,0.0001258359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007773878,"about_ca_system_score_gemma":0.0005130226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006575905,"about_ca_topic_score_gemma":0.01713317,"domain_scores_codex":[0.9997771,0.00004154452,0.000008595316,0.00008052164,0.00002746638,0.000064846],"domain_scores_gemma":[0.9996157,0.0001018163,0.00007163865,0.00003517705,0.00005306498,0.000122665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009483633,0.000400307,0.5419877,0.00009007737,0.0003038029,0.0003437353,0.001474137,0.0005719755,0.4350841,0.0004289187,0.00007952241,0.0182873],"study_design_scores_gemma":[0.000005136095,0.0001304936,0.9955077,0.000003516617,0.00003281114,0.00009337606,0.0004435386,0.0005842213,0.002822998,0.00005949642,0.0003098704,0.000006790374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997275,0.00006240391,0.0000323126,0.000003455161,3.933787e-7,0.000001670705,0.00002183837,8.491804e-7,0.0001496117],"genre_scores_gemma":[0.9995109,0.00007054785,0.0001360067,0.00001061452,0.000001214293,0.000003395782,0.00009072286,0.000001703209,0.000174965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006575905,"threshold_uncertainty_score":0.01307529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390564484382773,"score_gpt":0.2061699113422598,"score_spread":0.1922642664984321,"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."}}