{"id":"W6931649604","doi":"10.5281/zenodo.8114167","title":"Data for the paper \"Building pyramids against the evolutionary emergence of pathogens\"","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Host (biology); Type (biology); Phylogenetics; Biological evolution; Phylogenetic tree","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":[0.003838583,0.00151808,0.001811727,0.003697537,0.001298395,0.002208966,0.001768198,0.001249772,0.5280352],"category_scores_gemma":[0.03104134,0.0008388046,0.001637339,0.005245222,0.0005283558,0.001726112,0.001525932,0.001962977,0.2625949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285448,"about_ca_system_score_gemma":0.002951516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407287,"about_ca_topic_score_gemma":0.004699641,"domain_scores_codex":[0.9952217,0.0005004731,0.0006646561,0.0006871253,0.002508329,0.0004177789],"domain_scores_gemma":[0.9573436,0.02237879,0.002454571,0.006009729,0.009966386,0.001846845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005888528,0.0001116111,0.0006770028,0.0013893,0.00005266094,0.00003470344,0.00004656774,0.0002234435,0.002589336,0.000631396,0.9786023,0.01505287],"study_design_scores_gemma":[0.0004528259,0.0002900848,0.007382848,0.0003503478,0.00007237431,0.0001296308,0.00008357836,0.0003385143,0.007014535,0.001537144,0.9822662,0.00008187408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000775706,0.0002110671,0.002513571,0.0008117886,0.001649915,0.0001736406,0.9782367,0.005177236,0.01045043],"genre_scores_gemma":[0.004950664,0.0004575874,0.005693114,0.0008299307,0.0003535425,0.0009359949,0.96022,0.003832106,0.02272694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5280352,"threshold_uncertainty_score":0.6732005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506464043995494,"score_gpt":0.2860411443323129,"score_spread":0.2353947399327635,"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."}}