{"id":"W3113488093","doi":"10.1016/j.biortech.2020.124565","title":"Identifying economical route for crude glycerol valorization: Biodiesel versus polyhydroxy-butyrate (PHB)","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel; Glycerol; Biodiesel production; Raw material; Pulp and paper industry; Chemistry; Bioenergy; Waste management; Biofuel; Environmental science; Food science; Organic chemistry; Catalysis; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001923282,0.0005187446,0.0002699629,0.0006231499,0.000219855,0.0008536515,0.0003600664,0.0004615392,0.001589398],"category_scores_gemma":[0.0002386322,0.0002035993,0.0004842743,0.0005000658,0.0001913866,0.0008949451,0.0004343789,0.0006411182,0.000901047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776198,"about_ca_system_score_gemma":0.0007676186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423141,"about_ca_topic_score_gemma":0.002671518,"domain_scores_codex":[0.9998344,0.0000155917,0.00001174935,0.00003962301,0.00005601671,0.00004252291],"domain_scores_gemma":[0.9999188,0.000009997989,0.0000229917,0.000009502429,0.00002685499,0.00001184738],"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":[0.0001897548,0.00007166823,0.0007820117,0.000286913,0.00001550175,0.0001193083,0.00001504819,0.0004869611,0.9828818,0.0007065907,0.0001026701,0.01434179],"study_design_scores_gemma":[0.00001138646,0.0001796333,0.0009921649,0.00001794364,0.00002977816,0.0001396742,0.00004644127,0.001405543,0.9941309,0.0002225464,0.002814873,0.000009114547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503273,0.005384895,0.0369961,0.0005454512,0.000115145,0.0001632353,0.0008746845,0.0001317232,0.005461464],"genre_scores_gemma":[0.9527678,0.004413282,0.03729267,0.0000709536,0.00001825635,0.00007377289,0.001027273,0.0000378298,0.004298109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001589398,"threshold_uncertainty_score":0.005317032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030582670272938,"score_gpt":0.253560914027439,"score_spread":0.222978243754501,"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."}}