{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908225,0.0001951787,0.0002576223,0.00008934212,0.0001226754,0.00002414861,0.00013683,0.0006259417,0.00002334605],"category_scores_gemma":[0.00003043209,0.0001577786,0.00001296136,0.0002229424,0.0004675584,0.00008688289,0.0001281764,0.0002903827,0.000006131047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002728324,"about_ca_system_score_gemma":0.00002520297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002130211,"about_ca_topic_score_gemma":0.00001157038,"domain_scores_codex":[0.99874,0.00002457692,0.0002781706,0.0005365385,0.0000818474,0.000338911],"domain_scores_gemma":[0.9996758,0.00001503609,0.0000676345,0.0001914896,0.000006852561,0.00004322189],"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":[0.0001422425,0.00004849129,0.0007695616,0.00002260282,0.000003648523,0.000006429585,0.00009550071,1.064091e-7,0.9903267,0.00001783771,0.0001581409,0.008408718],"study_design_scores_gemma":[0.0005225296,0.00002598662,0.00006367297,0.00003332602,0.000004064116,0.00006325105,0.0002729852,0.00001232416,0.9981683,0.0000375497,0.0005831264,0.0002129231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935188,0.003894667,0.000001605173,0.002202453,0.00007025504,0.0001262416,0.00001474605,0.00007785146,0.00009343023],"genre_scores_gemma":[0.9991673,0.0003338062,0.0001256902,0.00005771448,0.00004556489,0.0000354324,0.00001246082,0.00001069102,0.0002113324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008195795,"threshold_uncertainty_score":0.6434024,"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."}}