{"id":"W2114456327","doi":"10.1080/10635150701286549","title":"Seeing the Trees for the Network: Consensus, Information Content, and Superphylogenies","year":2007,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biology; Content (measure theory); Mathematics","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":[0.006142236,0.0007074839,0.00155142,0.00613192,0.00221026,0.006145083,0.002118827,0.002645949,0.0128329],"category_scores_gemma":[0.0557829,0.0007658635,0.001268015,0.006211715,0.00231018,0.01463928,0.002402341,0.003071305,0.001798016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513495,"about_ca_system_score_gemma":0.001095945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290827,"about_ca_topic_score_gemma":0.0034444,"domain_scores_codex":[0.9977526,0.0007842327,0.0001093272,0.0007152007,0.0005094908,0.0001290568],"domain_scores_gemma":[0.9642572,0.02710335,0.002167666,0.002357036,0.002436013,0.001678639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001208417,0.0002255409,0.06580248,0.002751467,0.0008459759,0.001211077,0.005982647,0.06244552,0.03397177,0.3391,0.04923185,0.4372233],"study_design_scores_gemma":[0.00003932929,0.00005841378,0.009370119,0.0002262917,0.0001652687,0.0003502972,0.00109724,0.1310858,0.003208153,0.8425958,0.0117124,0.00009094379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1688561,0.007144783,0.7814114,0.01723612,0.0005134176,0.0001463589,0.006584241,0.002736215,0.01537129],"genre_scores_gemma":[0.7677199,0.006054344,0.2137329,0.001095909,0.0007776218,0.0002167375,0.005655002,0.001129756,0.003617754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0128329,"threshold_uncertainty_score":0.04293036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571795915562187,"score_gpt":0.2464800234698619,"score_spread":0.22076206431424,"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."}}