{"id":"W6977587822","doi":"10.6084/m9.figshare.27308502.v1","title":"Additional file 7 of Nested patterns of commensals and endosymbionts in microbial communities of mosquito vectors","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Commensalism; Host (biology); Vector (molecular biology); Assemblage (archaeology); Disease transmission; Phylogenetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001470387,0.001919105,0.001851137,0.004681287,0.00125172,0.003264772,0.002763135,0.002105089,0.9238087],"category_scores_gemma":[0.02314644,0.001123762,0.001939559,0.004815926,0.0005545568,0.003128799,0.001971719,0.001251064,0.3761926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119535,"about_ca_system_score_gemma":0.002038043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009637047,"about_ca_topic_score_gemma":0.01793342,"domain_scores_codex":[0.9989626,0.0001673464,0.0001230977,0.0002884117,0.0002436939,0.0002147916],"domain_scores_gemma":[0.9781131,0.01792158,0.0006596937,0.001148988,0.00151943,0.000637213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002153175,0.0001197945,0.002698461,0.004113727,0.0001149443,0.00009526034,0.0001277826,0.001093361,0.0002459468,0.001332029,0.9826251,0.007218215],"study_design_scores_gemma":[0.004800519,0.0002301008,0.02749829,0.003151895,0.0003089416,0.0005084111,0.0005702277,0.004370395,0.001389894,0.02381669,0.9330408,0.0003138291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000133014,0.00001653818,0.0002486088,0.00003929168,0.00002991812,0.00002896383,0.9978302,0.0006444177,0.001029018],"genre_scores_gemma":[0.007057717,0.0001509184,0.005566884,0.0004268359,0.0001087823,0.000796252,0.9731452,0.003758328,0.008989144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9238087,"threshold_uncertainty_score":0.1086776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981903270712329,"score_gpt":0.2608282622898301,"score_spread":0.2210092295827069,"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."}}