{"id":"W2062276557","doi":"10.1039/c4ra00066h","title":"Process optimization of cellulase production from alkali-treated coffee pulp and pineapple waste using Acinetobacter sp. TSK-MASC","year":2014,"lang":"en","type":"article","venue":"RSC Advances","topic":"Pineapple and bromelain studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Cellulase; Pulp (tooth); Pulp and paper industry; Chemistry; Alkali metal; Acinetobacter; Waste paper; Food science; Waste management; Cellulose; Organic chemistry; Biochemistry; Engineering; Medicine; Dentistry","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":[0.00037081,0.0005838833,0.0006344114,0.0002698134,0.0002476809,0.0007624214,0.0002727195,0.0002390328,0.0004566501],"category_scores_gemma":[0.0002297521,0.0001830355,0.0004233414,0.0005688212,0.0001546601,0.0002962439,0.000337987,0.0004243127,0.0002500504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287611,"about_ca_system_score_gemma":0.0004592897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831859,"about_ca_topic_score_gemma":0.003537765,"domain_scores_codex":[0.9996599,0.00005698247,0.00004911419,0.0000698758,0.0001048788,0.00005927534],"domain_scores_gemma":[0.9999073,0.00001718465,0.00002396977,0.00001001231,0.00002272561,0.00001875461],"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":[0.0001296668,0.00007436128,0.0004737176,0.00005319695,0.000007237969,0.00003581532,0.00001965635,0.0002126241,0.9969837,0.00001012469,0.000006334454,0.001993432],"study_design_scores_gemma":[0.000006941465,0.0003711198,0.003695139,0.000006127457,0.00002939774,0.00006633412,0.00008606956,0.0005781266,0.9946895,0.000009313817,0.0004553018,0.000006689791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980628,0.000468822,0.000924605,0.00001862198,0.000008548845,0.00002055682,0.0001085567,0.00001242696,0.0003749916],"genre_scores_gemma":[0.9940332,0.0005958996,0.004202795,0.00001370073,0.000004566729,0.00002825126,0.0003317165,0.00001443734,0.0007753421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831859,"threshold_uncertainty_score":0.003642321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009276367431161534,"score_gpt":0.2444409599115923,"score_spread":0.2351645924804308,"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."}}