{"id":"W2269431664","doi":"10.1139/gen-2015-0217","title":"Corrigendum: Plant barcoding of a wildlife sanctuary across a wide climatic zone, Uttarakhand, India","year":2016,"lang":"en","type":"erratum","venue":"Genome","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; DNA barcoding; Wildlife; Barcode; Lichen; Botany; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345966,0.000950995,0.0005688561,0.002175577,0.001159658,0.001259368,0.002339893,0.001758227,0.06605408],"category_scores_gemma":[0.006963222,0.0002872936,0.000370151,0.001381647,0.001088388,0.0009371967,0.001955321,0.0009024841,0.0322176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177852,"about_ca_system_score_gemma":0.001346321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01811761,"about_ca_topic_score_gemma":0.02123894,"domain_scores_codex":[0.9976253,0.0005042522,0.0002700301,0.0007040203,0.000695452,0.0002009424],"domain_scores_gemma":[0.9923959,0.001514778,0.0007272375,0.0006169928,0.004232352,0.0005127643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007597561,0.00006278754,0.01288354,0.001094808,0.00003994484,0.001344933,0.0004166948,0.0003502038,0.002419125,0.001180366,0.8508193,0.1293123],"study_design_scores_gemma":[0.0000396369,0.0002593618,0.08080146,0.0005717395,0.0001118316,0.002889172,0.001568603,0.002055527,0.005628958,0.001528914,0.9044607,0.00008411048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.09300598,0.01353023,0.02351004,0.2073579,0.4535903,0.001166163,0.03809404,0.01972443,0.1500209],"genre_scores_gemma":[0.4073105,0.00806963,0.02192979,0.04265051,0.06888741,0.0009971107,0.02360945,0.002445389,0.4241002],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06605408,"threshold_uncertainty_score":0.2209729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471927980833067,"score_gpt":0.2285616463465081,"score_spread":0.2038423665381774,"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."}}