{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006124192,0.0001368501,0.0001784512,0.00002840367,0.00007265875,0.000009545224,0.00006140082,0.00006273939,0.000008064607],"category_scores_gemma":[0.00005838646,0.0001173541,0.00002698307,0.00009338428,0.00008563808,0.00001793605,0.0000469611,0.00003461231,7.137855e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005080432,"about_ca_system_score_gemma":0.00001141954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850433,"about_ca_topic_score_gemma":0.00002589673,"domain_scores_codex":[0.9992625,0.00002992654,0.0001724505,0.0003120457,0.00008747212,0.0001355845],"domain_scores_gemma":[0.9995458,0.000008546202,0.0001360631,0.000164351,0.0001116637,0.00003356174],"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":[0.0001368456,0.00007773229,0.009201059,0.0001188498,0.00007229026,6.23484e-7,0.0001191526,0.03139331,0.9560786,0.00000428358,0.0001423415,0.002654919],"study_design_scores_gemma":[0.0005039613,0.0001855737,0.0003558806,0.00005013494,0.00005704234,0.000004512929,0.0002135345,0.004946625,0.9838632,0.00007944815,0.009533748,0.0002063243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985929,0.002696188,0.01085679,0.00006555632,0.0001097363,0.0001601253,0.00002861837,0.00001240756,0.0001416114],"genre_scores_gemma":[0.9949203,0.0008591455,0.003476196,0.00002308416,0.0003506791,0.00001271573,0.0002457136,0.00001526201,0.00009689532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02778462,"threshold_uncertainty_score":0.4785562,"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."}}