{"id":"W2126060359","doi":"10.1098/rstb.2005.1719","title":"Applying DNA barcoding to red macroalgae: a preliminary appraisal holds promise for future applications","year":2005,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":798,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"DNA barcoding; Barcode; Biology; Evolutionary biology; Identification (biology); Taxonomy (biology); Confusion; Ecology; DNA sequencing; Species identification; Computational biology; DNA; Genetics; Computer science","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":[0.01311225,0.001148705,0.001252522,0.00225401,0.0007133359,0.003347646,0.002324673,0.003842029,0.007952753],"category_scores_gemma":[0.01070285,0.000503267,0.00117489,0.002033485,0.003618163,0.005102558,0.001323135,0.002369153,0.002898901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343805,"about_ca_system_score_gemma":0.003330574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601981,"about_ca_topic_score_gemma":0.006452671,"domain_scores_codex":[0.9976089,0.0007918441,0.0002672355,0.000321873,0.0008437674,0.0001664129],"domain_scores_gemma":[0.9840704,0.008477313,0.001001323,0.0005743853,0.005069557,0.0008069344],"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":[0.0002689172,0.0001654869,0.004383831,0.007804262,0.0001084956,0.0007953972,0.0003701606,0.0007379205,0.01255647,0.00702809,0.01313384,0.9526471],"study_design_scores_gemma":[0.00007615046,0.002891418,0.01748657,0.01195865,0.0004712408,0.003255187,0.002723268,0.003293046,0.01507855,0.02440877,0.9180474,0.0003096537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005303588,0.9363386,0.01792421,0.02870503,0.002572729,0.0001558352,0.0001671565,0.0001699911,0.008662834],"genre_scores_gemma":[0.02865618,0.9175764,0.0387047,0.005417607,0.002840906,0.0001695921,0.0003313249,0.00005138088,0.00625199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01311225,"threshold_uncertainty_score":0.069345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686479972750575,"score_gpt":0.2663269973291669,"score_spread":0.2294621976016612,"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."}}