{"id":"W6981238053","doi":"","title":"DNA barcoding of echinoderms: Species diversity and patterns of molecular evolution","year":2010,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DNA barcoding; Intraspecific competition; Molecular evolution; Biological dispersal; Species complex; Clade; Genetic divergence; Genetic diversity; Divergence (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001067391,0.0001209393,0.0003048028,0.0001253284,0.0006623529,0.000001771453,0.0004414707,0.0001573256,0.0000442235],"category_scores_gemma":[0.00009931692,0.0001184813,0.0001306346,0.0001377782,0.0003676516,0.00008038925,0.000475112,0.0003060611,0.000001749415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002478581,"about_ca_system_score_gemma":0.00001941122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000937359,"about_ca_topic_score_gemma":0.0006144352,"domain_scores_codex":[0.9992042,0.0000938275,0.0001128083,0.0002302874,0.0002387389,0.0001201636],"domain_scores_gemma":[0.9991605,0.0001648698,0.0003596704,0.0002103904,0.00007556209,0.00002899322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002105804,0.00004232764,0.007767539,0.0001765418,0.00002532218,0.00001364318,0.00407433,0.000002883922,0.9839579,0.003556236,0.00004709876,0.0001255442],"study_design_scores_gemma":[0.0004709736,0.0001837513,0.8841314,0.0000544768,0.0003596497,0.000004146348,0.003237541,0.00002574372,0.109253,0.001682904,0.0003985451,0.0001978628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974918,0.000182893,0.0001510119,0.0001444976,0.000251663,0.0001187718,0.00005630873,0.0000127344,0.001590277],"genre_scores_gemma":[0.9984019,0.0002978999,0.00001620164,0.00001376064,0.00001324552,5.108858e-8,0.000006209884,0.000005606827,0.001245072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8763639,"threshold_uncertainty_score":0.509435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114449078303064,"score_gpt":0.2105197155807881,"score_spread":0.1893752247977575,"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."}}