{"id":"W2063795283","doi":"10.1371/journal.pone.0060945","title":"Taxonomic Identification of Mediterranean Pines and Their Hybrids Based on the High Resolution Melting (HRM) and trnL Approaches: From Cytoplasmic Inheritance to Timber Tracing","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"High Resolution Melt; Biology; Hybrid; Biodiversity; Molecular marker; Taxon; Identification (biology); Botany; Evolutionary biology; Genetic marker; Pinus <genus>; Genetics; Polymerase chain reaction; Ecology; Gene","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":[0.000290206,0.00022339,0.0001233518,0.0009957355,0.000232051,0.0003281297,0.0002006337,0.0002281984,0.0003582112],"category_scores_gemma":[0.0003451393,0.00009185942,0.000181814,0.0002479933,0.0001934196,0.0002066885,0.0003291765,0.000263696,0.0002133212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211701,"about_ca_system_score_gemma":0.00009145727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007258916,"about_ca_topic_score_gemma":0.001721893,"domain_scores_codex":[0.9997701,0.00003903285,0.00001703821,0.0001084382,0.00003889258,0.00002649743],"domain_scores_gemma":[0.9997118,0.00005762604,0.0001243165,0.0000295459,0.00004100293,0.00003566663],"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":[0.0001206615,0.00002214311,0.04404235,0.00005280391,0.00002225778,0.0001924534,0.0005384471,0.00005551361,0.937905,0.00008211237,0.00001944753,0.01694689],"study_design_scores_gemma":[0.000007447562,0.0003473656,0.85068,0.00003026849,0.00007660548,0.001740379,0.001054775,0.001561551,0.1424955,0.0002328664,0.001746761,0.00002648313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921531,0.0005574902,0.006020258,0.00001848279,0.000007023702,0.00002208158,0.000189898,0.00005299047,0.0009786171],"genre_scores_gemma":[0.9917761,0.00013553,0.007455005,0.00001850906,0.000004681358,0.00002044162,0.0002573897,0.00001367957,0.0003185983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009957355,"threshold_uncertainty_score":0.00153476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242812209527629,"score_gpt":0.1941355205443227,"score_spread":0.1417073984490465,"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."}}