{"id":"W2949470506","doi":"10.1089/ind.2019.0010","title":"Transitioning Towards a Circular Economy in Québec: An Integrated Process for First-, Second- and Third-Generation Ethanol from Sweet Sorghum and <i>Chlorella vulgaris</i> Biomass","year":2019,"lang":"en","type":"article","venue":"Industrial Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université de Sherbrooke","funders":"","keywords":"Fermentation; Cellulosic ethanol; Hydrolysate; Ethanol fuel; Chlorella vulgaris; Biofuel; Yeast; Biomass (ecology); Ethanol fermentation; Food science; Chemistry; Raw material; Sugar; Pulp and paper industry; Biotechnology; Cellulose; Botany; Biochemistry; Biology; Agronomy; Algae; Hydrolysis; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001623143,0.0001831673,0.0002493876,0.000243562,0.00006347362,0.00004889625,0.000100809,0.001150294,0.00006409152],"category_scores_gemma":[0.00002322692,0.0001840961,0.00002625344,0.0001961683,0.00009148513,0.0002057968,0.0000184468,0.0004186616,0.000005549368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008262759,"about_ca_system_score_gemma":0.00007310195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335127,"about_ca_topic_score_gemma":0.00133338,"domain_scores_codex":[0.9990609,0.00002354029,0.0002564393,0.0004083583,0.00004360547,0.0002071848],"domain_scores_gemma":[0.9996832,0.00001975458,0.00004620721,0.0001698282,0.00003064887,0.00005033467],"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":[0.0001794243,0.00006551487,0.002048396,0.0003053599,0.00009491788,0.000004716542,0.001084651,0.0004124508,0.9610717,0.0001001436,0.000694659,0.03393804],"study_design_scores_gemma":[0.003026998,0.0002677841,0.00008781666,0.0000416941,0.00002516372,0.00001537492,0.0006529626,0.03447679,0.8998104,0.0003278371,0.06090906,0.0003581062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936359,0.0003850136,0.001138449,0.003328954,0.0004746028,0.0006543578,0.00006071516,0.0002665492,0.0000554477],"genre_scores_gemma":[0.9993219,0.00005148762,0.0001484646,0.00008384279,0.000179346,0.00004214317,0.0001332704,0.00002237585,0.00001718395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06126133,"threshold_uncertainty_score":0.887212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465145279992789,"score_gpt":0.2185816791421494,"score_spread":0.1939302263422215,"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."}}