{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007604303,0.00008299545,0.0001316659,0.0001456368,0.00003878425,0.00001732636,0.0001271474,0.0002681174,0.0000295543],"category_scores_gemma":[0.0001110621,0.00007268331,0.00005341215,0.0001047618,0.00005193869,0.00001239045,0.00004020306,0.00009869107,0.00001495924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473266,"about_ca_system_score_gemma":0.00003523845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112399,"about_ca_topic_score_gemma":0.000002489478,"domain_scores_codex":[0.9993632,0.00003354165,0.000279936,0.0001361416,0.00008013489,0.0001070382],"domain_scores_gemma":[0.9992821,0.000008958922,0.0004064766,0.0001401175,0.000125257,0.00003709101],"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":[0.00003029765,0.00002126405,0.0005182915,0.000005243175,0.00004362675,0.000002195828,0.0000528815,0.000003551746,0.9889699,0.00002031442,0.0006103881,0.009722038],"study_design_scores_gemma":[0.0003046758,0.0002187145,0.002942959,0.00002415178,0.00001673859,0.00006272783,0.001170264,0.00005706999,0.9914956,0.00001669965,0.003615056,0.00007532865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927573,0.0002503656,0.005240018,0.001117861,0.0005045984,0.00006577134,0.000006116491,0.00001838006,0.00003964563],"genre_scores_gemma":[0.9970979,0.0001149603,0.002145801,0.0000668127,0.0004868273,0.000003757713,0.00003465829,0.0000107009,0.00003857828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009646709,"threshold_uncertainty_score":0.2963939,"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."}}