{"id":"W2609789315","doi":"10.1111/1462-2920.13777","title":"Genome‐wide identification of pathogenicity, conidiation and colony sectorization genes in <i>Metarhizium robertsii</i>","year":2017,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Conidiation; Biology; Pathogenicity; Metarhizium; Identification (biology); Gene; Genome; Genetics; Computational biology; Microbiology; Conidium; Virulence; Botany; Metarhizium anisopliae","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000144328,0.0003369883,0.0002178207,0.0004010455,0.0001627767,0.0002784953,0.0001658801,0.0002062806,0.0006008988],"category_scores_gemma":[0.0001283149,0.0001340479,0.0003598394,0.0003275,0.00009963211,0.0001020775,0.0002203368,0.0002939588,0.0002931142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171556,"about_ca_system_score_gemma":0.0001804774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466308,"about_ca_topic_score_gemma":0.002022246,"domain_scores_codex":[0.9998634,0.00001353707,0.00001256244,0.00005411003,0.00003521874,0.00002124625],"domain_scores_gemma":[0.9998354,0.00002074115,0.00006880607,0.00001605573,0.00002302015,0.00003599489],"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":[0.00006741314,0.0000129016,0.001735186,0.0000264804,0.000007772598,0.00004493712,0.00002100475,0.00002583075,0.9966457,0.00001633286,0.00002259113,0.001373835],"study_design_scores_gemma":[0.00003573401,0.0005236172,0.4641654,0.00002583464,0.0001726158,0.001785789,0.0002446683,0.001439386,0.5225226,0.00008874254,0.008965748,0.00002984302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935713,0.0008161229,0.001853995,0.00005351501,0.00000774102,0.00003404861,0.002820962,0.00009248197,0.0007498824],"genre_scores_gemma":[0.9830724,0.0005248007,0.00631383,0.00005139671,0.000006355644,0.00004507929,0.008279305,0.00004381745,0.001663071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001466308,"threshold_uncertainty_score":0.002915621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004736080257495876,"score_gpt":0.1766575358361943,"score_spread":0.1719214555786985,"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."}}