{"id":"W4388637319","doi":"10.3390/ijms242216232","title":"Soybean–SCN Battle: Novel Insight into Soybean’s Defense Strategies against Heterodera glycines","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Agriculture and Agri-Food Canada; University of Illinois at Urbana-Champaign; Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Heterodera; Soybean cyst nematode; Battle; Biology; Botany; Geography; Ecology; Archaeology; Cultivar","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492635,0.0001422784,0.000178352,0.000129641,0.0002327878,0.0004685066,0.0007950721,0.00003762225,0.00006666091],"category_scores_gemma":[0.00009727138,0.00006091203,0.000143892,0.0005868402,0.0001834235,0.0005991136,0.0002074036,0.00009234688,0.0000351603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002197941,"about_ca_system_score_gemma":0.00002855686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001712888,"about_ca_topic_score_gemma":0.00003576518,"domain_scores_codex":[0.9982544,0.00004332907,0.0004051827,0.0002091085,0.0008898859,0.0001981159],"domain_scores_gemma":[0.9990479,0.0001351166,0.0003177663,0.0000372213,0.000397865,0.0000640796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003679355,0.00008967325,0.002177793,0.000006390253,0.0001330354,0.0001549679,0.0007471694,0.00054423,0.9787629,0.004339573,0.0006444784,0.01236296],"study_design_scores_gemma":[0.005904423,0.003395154,0.3979601,0.001383487,0.0002800561,0.0006600151,0.05816352,0.008551119,0.1858846,0.03747319,0.2963665,0.003977809],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890406,0.0001941179,0.0006262633,0.006388352,0.001129631,0.000057556,0.000008791195,0.00004324254,0.002511495],"genre_scores_gemma":[0.9983611,0.0002425274,0.0002884919,0.0006845535,0.0003070839,0.000003203847,0.00002323803,0.000001405419,0.00008841475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7928783,"threshold_uncertainty_score":0.451782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909220676101868,"score_gpt":0.2690184694710284,"score_spread":0.2399262627100097,"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."}}