{"id":"W2759696172","doi":"10.1139/gen-2017-0115","title":"Molecular identification of species of <i>Physalis</i> (Solanaceae) using a candidate DNA barcode: the chloroplast <i>psbA</i>–<i>trnH</i> intergenic region","year":2017,"lang":"en","type":"article","venue":"Genome","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Biology; Physalis; DNA barcoding; Intergenic region; Barcode; Chloroplast DNA; Botany; Phylogenetic tree; Solanaceae; Genetics; Evolutionary biology; Genome; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002937449,0.0001540389,0.0001882786,0.00006262767,0.0002794943,0.00008097642,0.0007718385,0.00009776851,0.00001647936],"category_scores_gemma":[0.0001164053,0.0001343623,0.0001590835,0.00009364775,0.0003836676,0.00001647603,0.0001834626,0.00007544902,0.00001166357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001714127,"about_ca_system_score_gemma":0.0000794161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006680682,"about_ca_topic_score_gemma":0.00004296417,"domain_scores_codex":[0.9986271,0.00007941035,0.000556928,0.000343981,0.00020761,0.0001849802],"domain_scores_gemma":[0.9972175,0.000008690425,0.0008788283,0.001569941,0.0002760622,0.00004902533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005030627,0.00004176571,0.0004686939,0.0000408712,0.00006917849,7.044398e-7,0.0001447318,0.000117476,0.9978875,0.0008659538,0.0002353937,0.00007745953],"study_design_scores_gemma":[0.0002712727,0.00003957945,0.01466267,0.00001754878,0.00005351118,0.00001180499,0.0001427464,0.00009556813,0.9707269,0.00004530034,0.01378416,0.000148927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868922,0.0004162775,0.01090222,0.0003556032,0.000388699,0.0002654181,0.00007762209,0.00000920602,0.0006927644],"genre_scores_gemma":[0.9982145,0.0002631571,0.00008147652,0.00007377288,0.0001036014,0.00001583636,0.0001382082,0.00002697197,0.001082426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02716055,"threshold_uncertainty_score":0.5479135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223362547197071,"score_gpt":0.2631972902898261,"score_spread":0.240861035570119,"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."}}