{"id":"W7095964706","doi":"","title":"Blackwell Publishing Ltd BARCODING PLANTS Routine DNA barcoding of Canadian Gracilariales","year":2013,"lang":"en","type":"article","venue":"","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Taxon; Gracilaria; Taxonomy (biology); Marine invertebrates; Sampling (signal processing); Mitochondrial DNA; Molecular phylogenetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361725,0.0007786041,0.000505532,0.005585718,0.002835297,0.002556724,0.001849866,0.001005531,0.02262688],"category_scores_gemma":[0.003510683,0.0004886388,0.000326878,0.005336228,0.001226768,0.000954653,0.001220785,0.00155326,0.008240785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006256138,"about_ca_system_score_gemma":0.01621888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6912313,"about_ca_topic_score_gemma":0.8950952,"domain_scores_codex":[0.9967732,0.0001059945,0.0001459387,0.0005799356,0.002151052,0.0002438297],"domain_scores_gemma":[0.9933071,0.0004714793,0.0006577318,0.0006088538,0.004408571,0.0005462557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000119322,0.00003221715,0.02849771,0.00108919,0.00008341436,0.0008235663,0.002215835,0.001246517,0.07411264,0.007271251,0.1654478,0.7190605],"study_design_scores_gemma":[0.000010646,0.00003983687,0.0771063,0.0006058987,0.00004830482,0.0008384607,0.0008321023,0.001219577,0.009174079,0.000884762,0.9091694,0.0000706354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.212481,0.0303097,0.1135963,0.01070065,0.006303137,0.001447875,0.1546582,0.007630291,0.4628728],"genre_scores_gemma":[0.3198346,0.0154776,0.2870886,0.003505805,0.0005450475,0.000555249,0.08024828,0.002151046,0.2905938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3087687,"threshold_uncertainty_score":0.6211742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442203669945065,"score_gpt":0.190571002223668,"score_spread":0.1661489655242174,"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."}}