{"id":"W7143471273","doi":"10.71465/ajb.1225","title":"Evolutionary Bioinformatics: New Tools and Technologies","year":2022,"lang":"","type":"article","venue":"American Journal of Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Adaptation (eye); Big data; Field (mathematics); Phylogenetic tree; Analytics; Genetic algorithm; Biological evolution; Evolutionary algorithm","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":[0.01604299,0.002098826,0.002713157,0.007509074,0.001300605,0.01084665,0.004738907,0.003704489,0.01048752],"category_scores_gemma":[0.03583376,0.001750001,0.001947005,0.009689428,0.003110117,0.0181584,0.007142272,0.01073603,0.01151629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625362,"about_ca_system_score_gemma":0.002554334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007884428,"about_ca_topic_score_gemma":0.0006203709,"domain_scores_codex":[0.9869546,0.005591712,0.001329846,0.001425116,0.004323249,0.0003755043],"domain_scores_gemma":[0.9719071,0.01817525,0.001077163,0.004086189,0.003077818,0.001676476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000139935,0.00009677642,0.001026963,0.003135226,0.0002991161,0.0003720399,0.0006256587,0.002516955,0.003154649,0.1288888,0.1344931,0.7252508],"study_design_scores_gemma":[0.00005751998,0.0000414585,0.0005926394,0.001408777,0.00009349708,0.001182964,0.0001671245,0.008473584,0.001573459,0.2862269,0.70007,0.0001120297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001289127,0.1244399,0.7894363,0.03512689,0.004312169,0.0002900339,0.003193032,0.02355758,0.01835505],"genre_scores_gemma":[0.0132134,0.1128696,0.8366801,0.01355014,0.007779019,0.0007206172,0.005755198,0.003586555,0.005845462],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01604299,"threshold_uncertainty_score":0.08484447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009423600250790004,"score_gpt":0.2184603382904929,"score_spread":0.2090367380397029,"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."}}