{"id":"W2127398250","doi":"10.1016/j.jbiotec.2013.07.015","title":"Biomining active cellulases from a mining bioremediation system","year":2013,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"Genome Science Institute, Boston University; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"Fosmid; Cellulase; Metagenomics; Biology; Gene; Transposon mutagenesis; Computational biology; Glycoside hydrolase; Plasmid; Mutagenesis; Genetics; Enzyme; Biochemistry; Transposable element; Genome; Mutation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004215283,0.0004925191,0.0005051462,0.0003830332,0.0002153082,0.0006613636,0.0003395811,0.000335405,0.0004226342],"category_scores_gemma":[0.0004319066,0.0001961613,0.0003555033,0.0004040181,0.000193152,0.0004575638,0.0004028309,0.0005274239,0.0003319498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203522,"about_ca_system_score_gemma":0.0005212508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009401454,"about_ca_topic_score_gemma":0.001261055,"domain_scores_codex":[0.9997458,0.00003204772,0.00001926107,0.00005446512,0.0001153308,0.00003306376],"domain_scores_gemma":[0.9998631,0.00004317344,0.00002870943,0.00001818543,0.00002762173,0.0000191033],"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":[0.00002132271,0.00001476371,0.0002536438,0.00002058012,0.000002862253,0.000033262,0.00001011523,0.0001613139,0.9975924,0.00004797879,0.000008273023,0.00183358],"study_design_scores_gemma":[0.000003820281,0.000086079,0.001460853,0.000004584263,0.0000121445,0.0001425425,0.00002610172,0.001053039,0.9962721,0.0000655488,0.0008694064,0.000003738752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593568,0.0004067098,0.03818383,0.0001346191,0.00001173226,0.0001283658,0.0005263736,0.0001698174,0.0010816],"genre_scores_gemma":[0.8986912,0.001128608,0.09481705,0.00008314911,0.00001051041,0.0000932863,0.002728452,0.00008380349,0.002364009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009401454,"threshold_uncertainty_score":0.00304985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005697194742465556,"score_gpt":0.1971537164879658,"score_spread":0.1914565217455002,"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."}}