{"id":"W2091364221","doi":"10.1007/s12010-008-8358-1","title":"Poly-β-hydroxybutyrate Production by Fast-Growing Rhizobia Cultivated in Sludge and in Industrial Wastewater","year":2008,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; GDG Environnement; Institut de Technologie Agroalimentaire; Agriculture and Agri-Food Canada","funders":"","keywords":"Rhizobia; Wastewater; Pulp and paper industry; Polyhydroxybutyrate; Rhizobium leguminosarum; Bioplastic; Sewage sludge; Biology; Industrial wastewater treatment; Rhizobium; Agronomy; Sewage treatment; Food science; Rhizobiaceae; Nitrogen fixation; Environmental science; Bacteria; Horticulture; Environmental engineering; Symbiosis; Engineering; Ecology; Inoculation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004202424,0.001075972,0.000902949,0.0004771515,0.0003578898,0.0008764509,0.0004398067,0.0006772064,0.0006634147],"category_scores_gemma":[0.000509356,0.0004075591,0.0006533499,0.000486493,0.0003747651,0.0006164681,0.0005297082,0.0007643605,0.0003749012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500268,"about_ca_system_score_gemma":0.000823186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004552685,"about_ca_topic_score_gemma":0.00305316,"domain_scores_codex":[0.9995549,0.00007295748,0.00004375586,0.0000880759,0.0001080121,0.0001323699],"domain_scores_gemma":[0.9995688,0.0001384176,0.00005423356,0.00004299304,0.00008582997,0.0001097841],"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":[0.0002659487,0.00002769069,0.0003617567,0.00003340737,0.000007413902,0.00004592813,0.00002246973,0.00004697488,0.9984916,0.00001548822,0.00001018145,0.0006711307],"study_design_scores_gemma":[0.00003562853,0.0007026048,0.006289508,0.00001398458,0.00005138156,0.0002400699,0.0002016148,0.001119911,0.9908223,0.00006002097,0.0004477028,0.00001522019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978392,0.0005046165,0.0006534742,0.0000721846,0.00003198624,0.00001940176,0.0002853966,0.00002247319,0.0005713769],"genre_scores_gemma":[0.9956273,0.0004511474,0.001599395,0.00004170949,0.00001820157,0.00002852884,0.0006994534,0.00002297824,0.001511305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004552685,"threshold_uncertainty_score":0.009052396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574150143515424,"score_gpt":0.1932382711396926,"score_spread":0.1774967697045383,"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."}}