{"id":"W3200845184","doi":"10.1007/s40726-021-00202-7","title":"A Cookbook for Bioethanol from Macroalgae: Review of Selecting and Combining Processes to Enhance Bioethanol Production","year":2021,"lang":"en","type":"article","venue":"Current Pollution Reports","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biofuel; Pulp and paper industry; Biomass (ecology); Bioprocess; Fermentation; Biochemical engineering; Zymomonas mobilis; Renewable energy; Raw material; Fossil fuel; Enzymatic hydrolysis; Environmental science; Biotechnology; Chemistry; Hydrolysis; Ethanol fuel; Waste management; Food science; Biology; Engineering; Biochemistry; Ecology; Chemical engineering; Organic chemistry","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":[0.0002522775,0.0001456521,0.000239483,0.00007680806,0.00007674051,0.00001818431,0.00003504301,0.00005944949,0.00003248325],"category_scores_gemma":[0.0005610695,0.0001494868,0.00004825779,0.0004338629,0.00003621339,0.0001283366,0.00003283525,0.0001049368,0.000003680717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005170617,"about_ca_system_score_gemma":0.00009252821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008320682,"about_ca_topic_score_gemma":0.000002925641,"domain_scores_codex":[0.9987843,0.00002459755,0.0004564537,0.0004069945,0.0001552685,0.0001723927],"domain_scores_gemma":[0.9991493,0.00001741836,0.0001763896,0.0002219583,0.0003609386,0.00007403924],"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":[0.00004112957,0.0002033329,0.001170734,0.06780256,0.0001231694,0.00001314422,0.0007369858,0.0001773838,0.7249906,0.00001715694,0.03406237,0.1706614],"study_design_scores_gemma":[0.00008632826,0.00003302168,0.0001695197,0.00571759,0.00005480326,0.00008765919,0.00006494601,0.0001162194,0.9037807,0.00007448444,0.0896073,0.0002074051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4794303,0.4786991,0.02139608,0.005019457,0.01070181,0.003425228,0.000133114,0.0008833511,0.0003115479],"genre_scores_gemma":[0.9711825,0.02596909,0.001921594,0.0001346689,0.0003172848,0.0001070744,0.0001461325,0.0000293293,0.0001922739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917523,"threshold_uncertainty_score":0.6095896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147714249331134,"score_gpt":0.2933783247414889,"score_spread":0.2719011822481776,"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."}}