{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030094,0.0002690833,0.0001834463,0.00021553,0.0009798192,0.0008677201,0.0003304195,0.0003526404,0.002011587],"category_scores_gemma":[0.0001212849,0.000105078,0.0002811878,0.0003834813,0.0003094725,0.0003447434,0.0003760968,0.0005271479,0.0003940753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006328382,"about_ca_system_score_gemma":0.00512844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6792414,"about_ca_topic_score_gemma":0.7806876,"domain_scores_codex":[0.9998933,0.000006530795,0.000003716446,0.00002716238,0.00003496211,0.00003440852],"domain_scores_gemma":[0.9999455,0.000003751435,0.000006294195,0.000003771257,0.0000225646,0.00001806702],"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":[0.000236202,0.0002218542,0.004564714,0.0001966839,0.00002241139,0.0004807041,0.0002941258,0.005005344,0.9537092,0.001401347,0.0009909532,0.03287642],"study_design_scores_gemma":[0.00008907659,0.001140235,0.08193044,0.0001052002,0.0001114671,0.0003899673,0.001926372,0.04085965,0.7875645,0.0004710749,0.08527016,0.0001418579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828768,0.0004799976,0.007317471,0.0002511576,0.0000403043,0.0001865713,0.0006183273,0.0001108644,0.008118452],"genre_scores_gemma":[0.9687433,0.0006995762,0.01602331,0.00009983769,0.000004135738,0.00006734239,0.001020806,0.00003330391,0.0133083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3207586,"threshold_uncertainty_score":0.6452953,"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."}}