{"id":"W3047732733","doi":"10.1016/j.funbio.2020.07.009","title":"Chemo-profiling of bioactive metabolites from Chaetomium globosum for biocontrol of Sclerotinia rot and plant growth promotion","year":2020,"lang":"en","type":"article","venue":"Fungal Biology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Indian Agricultural Research Institute; Indian Council of Agricultural Research; Ministry of Agriculture - Saskatchewan","keywords":"Chaetomium globosum; Biology; Sclerotinia; Botany; Biological pest control; Sclerotinia sclerotiorum; Chaetomium; Profiling (computer programming); Biotechnology; Fusarium","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001590894,0.0004588779,0.0002613931,0.0005397108,0.0002083156,0.0003451408,0.0001379884,0.0003176405,0.0005823497],"category_scores_gemma":[0.0002142263,0.0001208177,0.0003272553,0.0004710426,0.0001522993,0.0002361248,0.0002687312,0.0003543068,0.0002101921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510643,"about_ca_system_score_gemma":0.000308224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009349305,"about_ca_topic_score_gemma":0.00296157,"domain_scores_codex":[0.9998752,0.00001821707,0.00000726911,0.00002299706,0.00004452767,0.00003177777],"domain_scores_gemma":[0.9998891,0.00002776904,0.00002262599,0.000007552292,0.00002766331,0.00002523278],"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":[0.00006758043,0.00001509728,0.0002336657,0.00001714631,0.000003377066,0.00001989958,0.000005818593,0.0000452897,0.9985429,0.000009312151,0.0000091616,0.001030798],"study_design_scores_gemma":[0.0000106292,0.0003639065,0.01047212,0.0000102349,0.00003540614,0.000083734,0.00006584045,0.0004930719,0.987527,0.00002666756,0.0009043386,0.000007090913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904603,0.001968209,0.004166485,0.0001059553,0.0000330049,0.00008951253,0.001562076,0.00005870185,0.001555891],"genre_scores_gemma":[0.9895114,0.001068265,0.005659762,0.0001036457,0.00001152152,0.00006257933,0.001710799,0.00001912687,0.0018528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009349305,"threshold_uncertainty_score":0.001948118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973881723632965,"score_gpt":0.2100368174168276,"score_spread":0.180298000180498,"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."}}