{"id":"W4392302913","doi":"10.1016/j.biortech.2024.130508","title":"Protein extraction from chlorella pyrenoidosa microalgae: Green methodologies, functional assessment, and waste stream valorization for bioenergy production","year":2024,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Minjiang University; Natural Science Foundation of Fujian Province","keywords":"Chlorella pyrenoidosa; Bioenergy; Extraction (chemistry); Biofuel; Biomass (ecology); Environmental science; Waste management; Biorefinery; Production (economics); Pulp and paper industry; Biochemical engineering; Chemistry; Chlorella; Engineering; Algae; Biology; Botany; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005487415,0.0003008764,0.0002740044,0.0005400145,0.0002844415,0.00005467097,0.0001527708,0.000818953,0.00006472573],"category_scores_gemma":[0.0002979211,0.0002604648,0.00008215535,0.0006240868,0.0003987052,0.0001820406,0.0001021592,0.0003841389,0.00002234456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899629,"about_ca_system_score_gemma":0.00008223325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006319446,"about_ca_topic_score_gemma":0.000174583,"domain_scores_codex":[0.9979595,0.0001384561,0.0003661047,0.001024063,0.0001605465,0.0003513468],"domain_scores_gemma":[0.9991406,0.0001241107,0.0001567597,0.0003688828,0.0001646806,0.00004502595],"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":[0.0002075864,0.00004887755,0.0007640009,0.00007174212,0.0001563377,0.000003471423,0.00003640861,0.00009889801,0.7834964,0.02054358,0.000914513,0.1936581],"study_design_scores_gemma":[0.0005744598,0.0005898299,0.002919628,0.00009264894,0.0001947988,0.00009948036,0.0006088166,0.002010221,0.7371742,0.06727713,0.1878973,0.0005615012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281033,0.003487218,0.05366884,0.00950234,0.002060004,0.0009341614,0.00008209261,0.001892951,0.0002691033],"genre_scores_gemma":[0.9739856,0.0001905666,0.02063524,0.00004862867,0.001831661,0.0004297085,0.0007654605,0.00005965974,0.00205346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1930966,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038400251356912,"score_gpt":0.2993843235725898,"score_spread":0.2609840722156778,"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."}}