{"id":"W2985840976","doi":"10.1038/s41467-019-13126-0","title":"Author Correction: The future of Blue Carbon science","year":2019,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Carbon fibers; Data science; Computational biology; Computer science; Nanotechnology; Biology; Materials science; Algorithm","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":[0.003928414,0.001655305,0.001370318,0.00282202,0.004333314,0.005417367,0.00284299,0.006426071,0.04342464],"category_scores_gemma":[0.04496923,0.0007009198,0.001494698,0.002017438,0.002301138,0.002761771,0.001977058,0.01224187,0.03484891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004057034,"about_ca_system_score_gemma":0.006763528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461222,"about_ca_topic_score_gemma":0.02373087,"domain_scores_codex":[0.9943901,0.0006415651,0.0006865014,0.0008704541,0.003021361,0.0003901211],"domain_scores_gemma":[0.9667482,0.005459364,0.001352906,0.001843272,0.02306494,0.00153126],"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":[0.00001053481,0.000002108088,0.00002069823,0.00004971487,0.000003713466,0.00005595155,0.00001605751,0.00001588153,0.00003001773,0.0008858877,0.9955733,0.003336176],"study_design_scores_gemma":[0.00001086829,0.000006598694,0.000157294,0.0001410941,0.00001042869,0.0001244211,0.00004829432,0.00006851587,0.0001729005,0.001500992,0.9977421,0.00001654439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006091981,0.0008133354,0.0003271186,0.0452625,0.9497948,0.000009504537,0.0002751254,0.0001898339,0.003266884],"genre_scores_gemma":[0.01024356,0.008295254,0.003890308,0.1367151,0.4406183,0.0001223851,0.001560332,0.001575143,0.3969796],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04342464,"threshold_uncertainty_score":0.1452699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150146406254219,"score_gpt":0.272195117854875,"score_spread":0.2606936537923328,"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."}}