{"id":"W2397137403","doi":"10.1007/978-1-60327-136-3_12","title":"Phylogenomic Analysis of EST Datasets","year":2009,"lang":"fr","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research","keywords":"Phylogenomics; Phylogenetic tree; Biology; Context (archaeology); Taxon; Evolutionary biology; Phylogenetics; Identification (biology); Similarity (geometry); Sequence (biology); Phylogenetic network; Genome; Computational biology; Computer science; Clade; Genetics; Gene; Artificial intelligence; Ecology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001817635,0.0006229972,0.0006663685,0.004566055,0.0009108194,0.001229389,0.0008295936,0.0005267958,0.003291875],"category_scores_gemma":[0.005732646,0.0003171291,0.001504393,0.007316767,0.00025117,0.0008613306,0.001246214,0.001353617,0.001699902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944961,"about_ca_system_score_gemma":0.0007672386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105941,"about_ca_topic_score_gemma":0.001452723,"domain_scores_codex":[0.9988351,0.0003023368,0.000189371,0.0002645217,0.0002824339,0.0001262063],"domain_scores_gemma":[0.9976164,0.001214214,0.000212616,0.0004410133,0.0004172454,0.00009854709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005469269,0.0010247,0.1084594,0.006107325,0.001881773,0.005101628,0.003496333,0.06758356,0.336729,0.02816466,0.06363899,0.3723435],"study_design_scores_gemma":[0.0004151403,0.0005795654,0.2075242,0.0006284238,0.0008529538,0.004074791,0.003227391,0.3142662,0.1439446,0.03871607,0.2854984,0.0002722785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4262222,0.001717466,0.1747444,0.0009846268,0.0001445091,0.0004338844,0.3778667,0.01104384,0.006842436],"genre_scores_gemma":[0.2120343,0.001133965,0.2137159,0.0002216777,0.0000319865,0.0006081542,0.5695385,0.001262092,0.001453542],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004566055,"threshold_uncertainty_score":0.01101243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002706829307888,"score_gpt":0.3770928127125363,"score_spread":0.3570657444194574,"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."}}