{"id":"W3026373931","doi":"10.1038/s42003-019-0721-y","title":"Insights into the κ/ι-carrageenan metabolism pathway of some marine Pseudoalteromonas species","year":2019,"lang":"en","type":"article","venue":"Communications Biology","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; National Research Council Canada; Lunenfeld-Tanenbaum Research Institute; University of Victoria","funders":"SLAC National Accelerator Laboratory; Biological and Environmental Research; National Research Council Canada; Western Economic Diversification Canada; Basic Energy Sciences; Canadian Light Source; Natural Sciences and Engineering Research Council of Canada; BC Cancer Agency; Office of Science; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Canada's Michael Smith Genome Sciences Centre; National Institutes of Health; University of Saskatchewan; U.S. Department of Energy","keywords":"Pseudoalteromonas; Carrageenan; Metabolism; Chemistry; Biology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001554196,0.0001405959,0.0002521207,0.00002589628,0.0002563555,0.00002118215,0.001909455,0.0001070776,0.0003022298],"category_scores_gemma":[0.00005677832,0.00004608151,0.000112891,0.0003379181,0.0005760463,0.0001037137,0.001293501,0.0002101394,0.0001097604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002259686,"about_ca_system_score_gemma":0.00001382967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000572985,"about_ca_topic_score_gemma":0.0009566583,"domain_scores_codex":[0.9988414,0.0004035619,0.0002761359,0.0002203743,0.00008115428,0.0001773678],"domain_scores_gemma":[0.998243,0.0006918208,0.0001727811,0.000716774,0.0001331837,0.0000424659],"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":[0.00001113524,0.00008289439,0.009556766,0.000002061862,0.00003586132,9.387021e-8,0.0003582983,3.541687e-7,0.8782789,0.08840071,0.00005210916,0.02322081],"study_design_scores_gemma":[0.0001885887,0.0002102133,0.4853743,0.00000855217,0.0000177221,0.00000298833,0.001069325,0.00007729624,0.03840835,0.02864086,0.4457882,0.000213672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816908,0.002560131,0.000002069946,0.005477685,0.000185774,0.0002640907,0.00001524646,0.00004303987,0.009761131],"genre_scores_gemma":[0.9974684,0.0009843154,0.0003102287,0.0003609725,0.0001054349,0.00003316164,0.0002091886,0.000001401053,0.0005269187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8398706,"threshold_uncertainty_score":0.3548274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494071947715868,"score_gpt":0.2484708658442374,"score_spread":0.2135301463670788,"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."}}