{"id":"W2098310129","doi":"10.1186/1471-2148-10-16","title":"Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life","year":2010,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Office of Polar Programs; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Universiteit Gent; National Science Foundation","keywords":"Phylogenetic tree; Tree of life (biology); Supermatrix; Biology; Tree (set theory); Algae; Phylogenetics; GenBank; Evolutionary biology; Multicellular organism; Phylogenomics; Ecology; Clade; Gene; Genetics; Mathematics","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":[0.01694128,0.0008232406,0.001084544,0.007441734,0.001820554,0.005524534,0.002291314,0.001255781,0.001829769],"category_scores_gemma":[0.08422611,0.0005181575,0.001518134,0.007599203,0.0007541127,0.003026783,0.001630584,0.001752187,0.0008865745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020619,"about_ca_system_score_gemma":0.005456484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002954639,"about_ca_topic_score_gemma":0.004850545,"domain_scores_codex":[0.9914923,0.003218415,0.001275141,0.00135767,0.002223488,0.0004330052],"domain_scores_gemma":[0.9001501,0.07463153,0.006763963,0.00380582,0.01232667,0.002321856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001731976,0.001220188,0.6082568,0.005859999,0.0009141526,0.002038683,0.004717154,0.03628569,0.02769567,0.01722148,0.01085295,0.2832052],"study_design_scores_gemma":[0.000327324,0.0009207199,0.1557976,0.001731209,0.001263251,0.002030532,0.01430389,0.6570054,0.03258147,0.08729538,0.04654034,0.0002029542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805589,0.001775048,0.286003,0.006673195,0.0001330012,0.001562387,0.01349946,0.002530186,0.007264824],"genre_scores_gemma":[0.5661103,0.0007589569,0.4213599,0.0003622981,0.00006579041,0.001076997,0.009701191,0.0001770971,0.0003875297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694128,"threshold_uncertainty_score":0.08959514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2307899472625611,"score_gpt":0.3887557505908295,"score_spread":0.1579658033282684,"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."}}